A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference
For a vehicle equipped with an automatic transmission, the shift control strategy should reflect the driver’s intention in the dynamic performance and the economy performance of the vehicle. However, the driver’s intention is difficult to identify and involve in the shift strategy because of the com...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhang, Lipeng [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2017 |
|---|
| Rechteinformationen: |
Nutzungsrecht: © IMechE 2016 |
|---|
| Systematik: |
|
|---|
| Übergeordnetes Werk: |
Enthalten in: Proceedings of the Institution of Mechanical Engineers / D - London : Inst., 1984, 231(2017), 5, Seite 684-699 |
|---|---|
| Übergeordnetes Werk: |
volume:231 ; year:2017 ; number:5 ; pages:684-699 |
| Links: |
|---|
| DOI / URN: |
10.1177/0954407016662579 |
|---|
| Katalog-ID: |
OLC1992941122 |
|---|
| LEADER | 01000caa a2200265 4500 | ||
|---|---|---|---|
| 001 | OLC1992941122 | ||
| 003 | DE-627 | ||
| 005 | 20220216164222.0 | ||
| 007 | tu | ||
| 008 | 170512s2017 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1177/0954407016662579 |2 doi | |
| 028 | 5 | 2 | |a PQ20170501 |
| 035 | |a (DE-627)OLC1992941122 | ||
| 035 | |a (DE-599)GBVOLC1992941122 | ||
| 035 | |a (PRQ)c1157-25ed1d5fa17fd811e4fe717811f761177ce5d73e1842a83aa837c1aa632262fc0 | ||
| 035 | |a (KEY)0134729220170000231000500684novelmultiparametercoordinatedshiftcontrolstrategy | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 380 |q DNB |
| 084 | |a ZO 4200: |q AVZ |2 rvk | ||
| 084 | |a 55.20 |2 bkl | ||
| 100 | 1 | |a Zhang, Lipeng |e verfasserin |4 aut | |
| 245 | 1 | 2 | |a A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference |
| 264 | 1 | |c 2017 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 520 | |a For a vehicle equipped with an automatic transmission, the shift control strategy should reflect the driver’s intention in the dynamic performance and the economy performance of the vehicle. However, the driver’s intention is difficult to identify and involve in the shift strategy because of the complexity of driving environments, the diversity of powertrain parameters and the randomness of the driver’s behaviour. Therefore, in this paper, by considering a vehicle equipped with an automated manual transmission as the study object, a novel multi-parameter coordinated shift control strategy is proposed on the basis of identification of the driver’s intention. First, in order to predict the intention of the driver more effectively, the relative opening degree of the accelerator is defined on the basis of the dynamic analysis. Then, the characteristics of the driver’s expected acceleration, which involve the influence of the driving environment, are proposed. They can be classified into five categories, namely stop, deceleration, keep, acceleration and urgent acceleration. Next, a fuzzy control system is designed to identify the driver’s acceleration characteristics in real time. This considers the vehicle speed, the rate of change in the opening degree of the accelerator and the relative opening degree of the accelerator as the inputs and the quantitative intention of the driver as the output. Finally, the novel multi-parameter coordinated shift control strategy is formulated on the basis of the vehicle speed, the opening degree of the accelerator and the quantitative intention of the driver. The designed shift strategy is compared with conventional methods using simulations and is verified by road tests. The results show that the shift control strategy can make the vehicle shift much more effective. | ||
| 540 | |a Nutzungsrecht: © IMechE 2016 | ||
| 700 | 1 | |a Zhang, Xiaohong |4 oth | |
| 700 | 1 | |a Han, Zongqi |4 oth | |
| 700 | 1 | |a Chen, Junyun |4 oth | |
| 700 | 1 | |a Liu, Jingchao |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |t Proceedings of the Institution of Mechanical Engineers / D |d London : Inst., 1984 |g 231(2017), 5, Seite 684-699 |w (DE-627)130863122 |w (DE-600)1030849-0 |w (DE-576)023106468 |x 0954-4070 |7 nnns |
| 773 | 1 | 8 | |g volume:231 |g year:2017 |g number:5 |g pages:684-699 |
| 856 | 4 | 1 | |u http://dx.doi.org/10.1177/0954407016662579 |3 Volltext |
| 856 | 4 | 2 | |u http://journals.sagepub.com/doi/full/10.1177/0954407016662579 |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-TEC | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_2006 | ||
| 912 | |a GBV_ILN_4046 | ||
| 936 | r | v | |a ZO 4200: |
| 936 | b | k | |a 55.20 |q AVZ |
| 951 | |a AR | ||
| 952 | |d 231 |j 2017 |e 5 |h 684-699 | ||
| author_variant |
l z lz |
|---|---|
| matchkey_str |
article:09544070:2017----::nvlutprmtroriaesitotosrtgfrnuoaemnatasi |
| hierarchy_sort_str |
2017 |
| bklnumber |
55.20 |
| publishDate |
2017 |
| allfields |
10.1177/0954407016662579 doi PQ20170501 (DE-627)OLC1992941122 (DE-599)GBVOLC1992941122 (PRQ)c1157-25ed1d5fa17fd811e4fe717811f761177ce5d73e1842a83aa837c1aa632262fc0 (KEY)0134729220170000231000500684novelmultiparametercoordinatedshiftcontrolstrategy DE-627 ger DE-627 rakwb eng 380 DNB ZO 4200: AVZ rvk 55.20 bkl Zhang, Lipeng verfasserin aut A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier For a vehicle equipped with an automatic transmission, the shift control strategy should reflect the driver’s intention in the dynamic performance and the economy performance of the vehicle. However, the driver’s intention is difficult to identify and involve in the shift strategy because of the complexity of driving environments, the diversity of powertrain parameters and the randomness of the driver’s behaviour. Therefore, in this paper, by considering a vehicle equipped with an automated manual transmission as the study object, a novel multi-parameter coordinated shift control strategy is proposed on the basis of identification of the driver’s intention. First, in order to predict the intention of the driver more effectively, the relative opening degree of the accelerator is defined on the basis of the dynamic analysis. Then, the characteristics of the driver’s expected acceleration, which involve the influence of the driving environment, are proposed. They can be classified into five categories, namely stop, deceleration, keep, acceleration and urgent acceleration. Next, a fuzzy control system is designed to identify the driver’s acceleration characteristics in real time. This considers the vehicle speed, the rate of change in the opening degree of the accelerator and the relative opening degree of the accelerator as the inputs and the quantitative intention of the driver as the output. Finally, the novel multi-parameter coordinated shift control strategy is formulated on the basis of the vehicle speed, the opening degree of the accelerator and the quantitative intention of the driver. The designed shift strategy is compared with conventional methods using simulations and is verified by road tests. The results show that the shift control strategy can make the vehicle shift much more effective. Nutzungsrecht: © IMechE 2016 Zhang, Xiaohong oth Han, Zongqi oth Chen, Junyun oth Liu, Jingchao oth Enthalten in Proceedings of the Institution of Mechanical Engineers / D London : Inst., 1984 231(2017), 5, Seite 684-699 (DE-627)130863122 (DE-600)1030849-0 (DE-576)023106468 0954-4070 nnns volume:231 year:2017 number:5 pages:684-699 http://dx.doi.org/10.1177/0954407016662579 Volltext http://journals.sagepub.com/doi/full/10.1177/0954407016662579 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 ZO 4200: 55.20 AVZ AR 231 2017 5 684-699 |
| spelling |
10.1177/0954407016662579 doi PQ20170501 (DE-627)OLC1992941122 (DE-599)GBVOLC1992941122 (PRQ)c1157-25ed1d5fa17fd811e4fe717811f761177ce5d73e1842a83aa837c1aa632262fc0 (KEY)0134729220170000231000500684novelmultiparametercoordinatedshiftcontrolstrategy DE-627 ger DE-627 rakwb eng 380 DNB ZO 4200: AVZ rvk 55.20 bkl Zhang, Lipeng verfasserin aut A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier For a vehicle equipped with an automatic transmission, the shift control strategy should reflect the driver’s intention in the dynamic performance and the economy performance of the vehicle. However, the driver’s intention is difficult to identify and involve in the shift strategy because of the complexity of driving environments, the diversity of powertrain parameters and the randomness of the driver’s behaviour. Therefore, in this paper, by considering a vehicle equipped with an automated manual transmission as the study object, a novel multi-parameter coordinated shift control strategy is proposed on the basis of identification of the driver’s intention. First, in order to predict the intention of the driver more effectively, the relative opening degree of the accelerator is defined on the basis of the dynamic analysis. Then, the characteristics of the driver’s expected acceleration, which involve the influence of the driving environment, are proposed. They can be classified into five categories, namely stop, deceleration, keep, acceleration and urgent acceleration. Next, a fuzzy control system is designed to identify the driver’s acceleration characteristics in real time. This considers the vehicle speed, the rate of change in the opening degree of the accelerator and the relative opening degree of the accelerator as the inputs and the quantitative intention of the driver as the output. Finally, the novel multi-parameter coordinated shift control strategy is formulated on the basis of the vehicle speed, the opening degree of the accelerator and the quantitative intention of the driver. The designed shift strategy is compared with conventional methods using simulations and is verified by road tests. The results show that the shift control strategy can make the vehicle shift much more effective. Nutzungsrecht: © IMechE 2016 Zhang, Xiaohong oth Han, Zongqi oth Chen, Junyun oth Liu, Jingchao oth Enthalten in Proceedings of the Institution of Mechanical Engineers / D London : Inst., 1984 231(2017), 5, Seite 684-699 (DE-627)130863122 (DE-600)1030849-0 (DE-576)023106468 0954-4070 nnns volume:231 year:2017 number:5 pages:684-699 http://dx.doi.org/10.1177/0954407016662579 Volltext http://journals.sagepub.com/doi/full/10.1177/0954407016662579 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 ZO 4200: 55.20 AVZ AR 231 2017 5 684-699 |
| allfields_unstemmed |
10.1177/0954407016662579 doi PQ20170501 (DE-627)OLC1992941122 (DE-599)GBVOLC1992941122 (PRQ)c1157-25ed1d5fa17fd811e4fe717811f761177ce5d73e1842a83aa837c1aa632262fc0 (KEY)0134729220170000231000500684novelmultiparametercoordinatedshiftcontrolstrategy DE-627 ger DE-627 rakwb eng 380 DNB ZO 4200: AVZ rvk 55.20 bkl Zhang, Lipeng verfasserin aut A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier For a vehicle equipped with an automatic transmission, the shift control strategy should reflect the driver’s intention in the dynamic performance and the economy performance of the vehicle. However, the driver’s intention is difficult to identify and involve in the shift strategy because of the complexity of driving environments, the diversity of powertrain parameters and the randomness of the driver’s behaviour. Therefore, in this paper, by considering a vehicle equipped with an automated manual transmission as the study object, a novel multi-parameter coordinated shift control strategy is proposed on the basis of identification of the driver’s intention. First, in order to predict the intention of the driver more effectively, the relative opening degree of the accelerator is defined on the basis of the dynamic analysis. Then, the characteristics of the driver’s expected acceleration, which involve the influence of the driving environment, are proposed. They can be classified into five categories, namely stop, deceleration, keep, acceleration and urgent acceleration. Next, a fuzzy control system is designed to identify the driver’s acceleration characteristics in real time. This considers the vehicle speed, the rate of change in the opening degree of the accelerator and the relative opening degree of the accelerator as the inputs and the quantitative intention of the driver as the output. Finally, the novel multi-parameter coordinated shift control strategy is formulated on the basis of the vehicle speed, the opening degree of the accelerator and the quantitative intention of the driver. The designed shift strategy is compared with conventional methods using simulations and is verified by road tests. The results show that the shift control strategy can make the vehicle shift much more effective. Nutzungsrecht: © IMechE 2016 Zhang, Xiaohong oth Han, Zongqi oth Chen, Junyun oth Liu, Jingchao oth Enthalten in Proceedings of the Institution of Mechanical Engineers / D London : Inst., 1984 231(2017), 5, Seite 684-699 (DE-627)130863122 (DE-600)1030849-0 (DE-576)023106468 0954-4070 nnns volume:231 year:2017 number:5 pages:684-699 http://dx.doi.org/10.1177/0954407016662579 Volltext http://journals.sagepub.com/doi/full/10.1177/0954407016662579 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 ZO 4200: 55.20 AVZ AR 231 2017 5 684-699 |
| allfieldsGer |
10.1177/0954407016662579 doi PQ20170501 (DE-627)OLC1992941122 (DE-599)GBVOLC1992941122 (PRQ)c1157-25ed1d5fa17fd811e4fe717811f761177ce5d73e1842a83aa837c1aa632262fc0 (KEY)0134729220170000231000500684novelmultiparametercoordinatedshiftcontrolstrategy DE-627 ger DE-627 rakwb eng 380 DNB ZO 4200: AVZ rvk 55.20 bkl Zhang, Lipeng verfasserin aut A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier For a vehicle equipped with an automatic transmission, the shift control strategy should reflect the driver’s intention in the dynamic performance and the economy performance of the vehicle. However, the driver’s intention is difficult to identify and involve in the shift strategy because of the complexity of driving environments, the diversity of powertrain parameters and the randomness of the driver’s behaviour. Therefore, in this paper, by considering a vehicle equipped with an automated manual transmission as the study object, a novel multi-parameter coordinated shift control strategy is proposed on the basis of identification of the driver’s intention. First, in order to predict the intention of the driver more effectively, the relative opening degree of the accelerator is defined on the basis of the dynamic analysis. Then, the characteristics of the driver’s expected acceleration, which involve the influence of the driving environment, are proposed. They can be classified into five categories, namely stop, deceleration, keep, acceleration and urgent acceleration. Next, a fuzzy control system is designed to identify the driver’s acceleration characteristics in real time. This considers the vehicle speed, the rate of change in the opening degree of the accelerator and the relative opening degree of the accelerator as the inputs and the quantitative intention of the driver as the output. Finally, the novel multi-parameter coordinated shift control strategy is formulated on the basis of the vehicle speed, the opening degree of the accelerator and the quantitative intention of the driver. The designed shift strategy is compared with conventional methods using simulations and is verified by road tests. The results show that the shift control strategy can make the vehicle shift much more effective. Nutzungsrecht: © IMechE 2016 Zhang, Xiaohong oth Han, Zongqi oth Chen, Junyun oth Liu, Jingchao oth Enthalten in Proceedings of the Institution of Mechanical Engineers / D London : Inst., 1984 231(2017), 5, Seite 684-699 (DE-627)130863122 (DE-600)1030849-0 (DE-576)023106468 0954-4070 nnns volume:231 year:2017 number:5 pages:684-699 http://dx.doi.org/10.1177/0954407016662579 Volltext http://journals.sagepub.com/doi/full/10.1177/0954407016662579 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 ZO 4200: 55.20 AVZ AR 231 2017 5 684-699 |
| allfieldsSound |
10.1177/0954407016662579 doi PQ20170501 (DE-627)OLC1992941122 (DE-599)GBVOLC1992941122 (PRQ)c1157-25ed1d5fa17fd811e4fe717811f761177ce5d73e1842a83aa837c1aa632262fc0 (KEY)0134729220170000231000500684novelmultiparametercoordinatedshiftcontrolstrategy DE-627 ger DE-627 rakwb eng 380 DNB ZO 4200: AVZ rvk 55.20 bkl Zhang, Lipeng verfasserin aut A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier For a vehicle equipped with an automatic transmission, the shift control strategy should reflect the driver’s intention in the dynamic performance and the economy performance of the vehicle. However, the driver’s intention is difficult to identify and involve in the shift strategy because of the complexity of driving environments, the diversity of powertrain parameters and the randomness of the driver’s behaviour. Therefore, in this paper, by considering a vehicle equipped with an automated manual transmission as the study object, a novel multi-parameter coordinated shift control strategy is proposed on the basis of identification of the driver’s intention. First, in order to predict the intention of the driver more effectively, the relative opening degree of the accelerator is defined on the basis of the dynamic analysis. Then, the characteristics of the driver’s expected acceleration, which involve the influence of the driving environment, are proposed. They can be classified into five categories, namely stop, deceleration, keep, acceleration and urgent acceleration. Next, a fuzzy control system is designed to identify the driver’s acceleration characteristics in real time. This considers the vehicle speed, the rate of change in the opening degree of the accelerator and the relative opening degree of the accelerator as the inputs and the quantitative intention of the driver as the output. Finally, the novel multi-parameter coordinated shift control strategy is formulated on the basis of the vehicle speed, the opening degree of the accelerator and the quantitative intention of the driver. The designed shift strategy is compared with conventional methods using simulations and is verified by road tests. The results show that the shift control strategy can make the vehicle shift much more effective. Nutzungsrecht: © IMechE 2016 Zhang, Xiaohong oth Han, Zongqi oth Chen, Junyun oth Liu, Jingchao oth Enthalten in Proceedings of the Institution of Mechanical Engineers / D London : Inst., 1984 231(2017), 5, Seite 684-699 (DE-627)130863122 (DE-600)1030849-0 (DE-576)023106468 0954-4070 nnns volume:231 year:2017 number:5 pages:684-699 http://dx.doi.org/10.1177/0954407016662579 Volltext http://journals.sagepub.com/doi/full/10.1177/0954407016662579 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 ZO 4200: 55.20 AVZ AR 231 2017 5 684-699 |
| language |
English |
| source |
Enthalten in Proceedings of the Institution of Mechanical Engineers / D 231(2017), 5, Seite 684-699 volume:231 year:2017 number:5 pages:684-699 |
| sourceStr |
Enthalten in Proceedings of the Institution of Mechanical Engineers / D 231(2017), 5, Seite 684-699 volume:231 year:2017 number:5 pages:684-699 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| dewey-raw |
380 |
| isfreeaccess_bool |
false |
| container_title |
Proceedings of the Institution of Mechanical Engineers / D |
| authorswithroles_txt_mv |
Zhang, Lipeng @@aut@@ Zhang, Xiaohong @@oth@@ Han, Zongqi @@oth@@ Chen, Junyun @@oth@@ Liu, Jingchao @@oth@@ |
| publishDateDaySort_date |
2017-01-01T00:00:00Z |
| hierarchy_top_id |
130863122 |
| dewey-sort |
3380 |
| id |
OLC1992941122 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1992941122</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220216164222.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">170512s2017 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1177/0954407016662579</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20170501</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1992941122</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1992941122</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c1157-25ed1d5fa17fd811e4fe717811f761177ce5d73e1842a83aa837c1aa632262fc0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0134729220170000231000500684novelmultiparametercoordinatedshiftcontrolstrategy</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">380</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ZO 4200:</subfield><subfield code="q">AVZ</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">55.20</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhang, Lipeng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">For a vehicle equipped with an automatic transmission, the shift control strategy should reflect the driver’s intention in the dynamic performance and the economy performance of the vehicle. However, the driver’s intention is difficult to identify and involve in the shift strategy because of the complexity of driving environments, the diversity of powertrain parameters and the randomness of the driver’s behaviour. Therefore, in this paper, by considering a vehicle equipped with an automated manual transmission as the study object, a novel multi-parameter coordinated shift control strategy is proposed on the basis of identification of the driver’s intention. First, in order to predict the intention of the driver more effectively, the relative opening degree of the accelerator is defined on the basis of the dynamic analysis. Then, the characteristics of the driver’s expected acceleration, which involve the influence of the driving environment, are proposed. They can be classified into five categories, namely stop, deceleration, keep, acceleration and urgent acceleration. Next, a fuzzy control system is designed to identify the driver’s acceleration characteristics in real time. This considers the vehicle speed, the rate of change in the opening degree of the accelerator and the relative opening degree of the accelerator as the inputs and the quantitative intention of the driver as the output. Finally, the novel multi-parameter coordinated shift control strategy is formulated on the basis of the vehicle speed, the opening degree of the accelerator and the quantitative intention of the driver. The designed shift strategy is compared with conventional methods using simulations and is verified by road tests. The results show that the shift control strategy can make the vehicle shift much more effective.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: © IMechE 2016</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Xiaohong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Han, Zongqi</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chen, Junyun</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Jingchao</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Proceedings of the Institution of Mechanical Engineers / D</subfield><subfield code="d">London : Inst., 1984</subfield><subfield code="g">231(2017), 5, Seite 684-699</subfield><subfield code="w">(DE-627)130863122</subfield><subfield code="w">(DE-600)1030849-0</subfield><subfield code="w">(DE-576)023106468</subfield><subfield code="x">0954-4070</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:231</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:5</subfield><subfield code="g">pages:684-699</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1177/0954407016662579</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://journals.sagepub.com/doi/full/10.1177/0954407016662579</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="936" ind1="r" ind2="v"><subfield code="a">ZO 4200:</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">55.20</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">231</subfield><subfield code="j">2017</subfield><subfield code="e">5</subfield><subfield code="h">684-699</subfield></datafield></record></collection>
|
| author |
Zhang, Lipeng |
| spellingShingle |
Zhang, Lipeng ddc 380 rvk ZO 4200: bkl 55.20 A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference |
| authorStr |
Zhang, Lipeng |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)130863122 |
| format |
Article |
| dewey-ones |
380 - Commerce, communications & transportation |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0954-4070 |
| topic_title |
380 DNB ZO 4200: AVZ rvk 55.20 bkl A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference |
| topic |
ddc 380 rvk ZO 4200: bkl 55.20 |
| topic_unstemmed |
ddc 380 rvk ZO 4200: bkl 55.20 |
| topic_browse |
ddc 380 rvk ZO 4200: bkl 55.20 |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| author2_variant |
x z xz z h zh j c jc j l jl |
| hierarchy_parent_title |
Proceedings of the Institution of Mechanical Engineers / D |
| hierarchy_parent_id |
130863122 |
| dewey-tens |
380 - Commerce, communications & transportation |
| hierarchy_top_title |
Proceedings of the Institution of Mechanical Engineers / D |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)130863122 (DE-600)1030849-0 (DE-576)023106468 |
| title |
A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference |
| ctrlnum |
(DE-627)OLC1992941122 (DE-599)GBVOLC1992941122 (PRQ)c1157-25ed1d5fa17fd811e4fe717811f761177ce5d73e1842a83aa837c1aa632262fc0 (KEY)0134729220170000231000500684novelmultiparametercoordinatedshiftcontrolstrategy |
| title_full |
A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference |
| author_sort |
Zhang, Lipeng |
| journal |
Proceedings of the Institution of Mechanical Engineers / D |
| journalStr |
Proceedings of the Institution of Mechanical Engineers / D |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
300 - Social sciences |
| recordtype |
marc |
| publishDateSort |
2017 |
| contenttype_str_mv |
txt |
| container_start_page |
684 |
| author_browse |
Zhang, Lipeng |
| container_volume |
231 |
| class |
380 DNB ZO 4200: AVZ rvk 55.20 bkl |
| format_se |
Aufsätze |
| author-letter |
Zhang, Lipeng |
| doi_str_mv |
10.1177/0954407016662579 |
| dewey-full |
380 |
| title_sort |
novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference |
| title_auth |
A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference |
| abstract |
For a vehicle equipped with an automatic transmission, the shift control strategy should reflect the driver’s intention in the dynamic performance and the economy performance of the vehicle. However, the driver’s intention is difficult to identify and involve in the shift strategy because of the complexity of driving environments, the diversity of powertrain parameters and the randomness of the driver’s behaviour. Therefore, in this paper, by considering a vehicle equipped with an automated manual transmission as the study object, a novel multi-parameter coordinated shift control strategy is proposed on the basis of identification of the driver’s intention. First, in order to predict the intention of the driver more effectively, the relative opening degree of the accelerator is defined on the basis of the dynamic analysis. Then, the characteristics of the driver’s expected acceleration, which involve the influence of the driving environment, are proposed. They can be classified into five categories, namely stop, deceleration, keep, acceleration and urgent acceleration. Next, a fuzzy control system is designed to identify the driver’s acceleration characteristics in real time. This considers the vehicle speed, the rate of change in the opening degree of the accelerator and the relative opening degree of the accelerator as the inputs and the quantitative intention of the driver as the output. Finally, the novel multi-parameter coordinated shift control strategy is formulated on the basis of the vehicle speed, the opening degree of the accelerator and the quantitative intention of the driver. The designed shift strategy is compared with conventional methods using simulations and is verified by road tests. The results show that the shift control strategy can make the vehicle shift much more effective. |
| abstractGer |
For a vehicle equipped with an automatic transmission, the shift control strategy should reflect the driver’s intention in the dynamic performance and the economy performance of the vehicle. However, the driver’s intention is difficult to identify and involve in the shift strategy because of the complexity of driving environments, the diversity of powertrain parameters and the randomness of the driver’s behaviour. Therefore, in this paper, by considering a vehicle equipped with an automated manual transmission as the study object, a novel multi-parameter coordinated shift control strategy is proposed on the basis of identification of the driver’s intention. First, in order to predict the intention of the driver more effectively, the relative opening degree of the accelerator is defined on the basis of the dynamic analysis. Then, the characteristics of the driver’s expected acceleration, which involve the influence of the driving environment, are proposed. They can be classified into five categories, namely stop, deceleration, keep, acceleration and urgent acceleration. Next, a fuzzy control system is designed to identify the driver’s acceleration characteristics in real time. This considers the vehicle speed, the rate of change in the opening degree of the accelerator and the relative opening degree of the accelerator as the inputs and the quantitative intention of the driver as the output. Finally, the novel multi-parameter coordinated shift control strategy is formulated on the basis of the vehicle speed, the opening degree of the accelerator and the quantitative intention of the driver. The designed shift strategy is compared with conventional methods using simulations and is verified by road tests. The results show that the shift control strategy can make the vehicle shift much more effective. |
| abstract_unstemmed |
For a vehicle equipped with an automatic transmission, the shift control strategy should reflect the driver’s intention in the dynamic performance and the economy performance of the vehicle. However, the driver’s intention is difficult to identify and involve in the shift strategy because of the complexity of driving environments, the diversity of powertrain parameters and the randomness of the driver’s behaviour. Therefore, in this paper, by considering a vehicle equipped with an automated manual transmission as the study object, a novel multi-parameter coordinated shift control strategy is proposed on the basis of identification of the driver’s intention. First, in order to predict the intention of the driver more effectively, the relative opening degree of the accelerator is defined on the basis of the dynamic analysis. Then, the characteristics of the driver’s expected acceleration, which involve the influence of the driving environment, are proposed. They can be classified into five categories, namely stop, deceleration, keep, acceleration and urgent acceleration. Next, a fuzzy control system is designed to identify the driver’s acceleration characteristics in real time. This considers the vehicle speed, the rate of change in the opening degree of the accelerator and the relative opening degree of the accelerator as the inputs and the quantitative intention of the driver as the output. Finally, the novel multi-parameter coordinated shift control strategy is formulated on the basis of the vehicle speed, the opening degree of the accelerator and the quantitative intention of the driver. The designed shift strategy is compared with conventional methods using simulations and is verified by road tests. The results show that the shift control strategy can make the vehicle shift much more effective. |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 |
| container_issue |
5 |
| title_short |
A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference |
| url |
http://dx.doi.org/10.1177/0954407016662579 http://journals.sagepub.com/doi/full/10.1177/0954407016662579 |
| remote_bool |
false |
| author2 |
Zhang, Xiaohong Han, Zongqi Chen, Junyun Liu, Jingchao |
| author2Str |
Zhang, Xiaohong Han, Zongqi Chen, Junyun Liu, Jingchao |
| ppnlink |
130863122 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth oth |
| doi_str |
10.1177/0954407016662579 |
| up_date |
2024-07-04T05:59:51.636Z |
| _version_ |
1803627047552024576 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1992941122</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220216164222.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">170512s2017 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1177/0954407016662579</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20170501</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1992941122</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1992941122</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c1157-25ed1d5fa17fd811e4fe717811f761177ce5d73e1842a83aa837c1aa632262fc0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0134729220170000231000500684novelmultiparametercoordinatedshiftcontrolstrategy</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">380</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ZO 4200:</subfield><subfield code="q">AVZ</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">55.20</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Zhang, Lipeng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A novel multi-parameter coordinated shift control strategy for an automated manual transmission based on fuzzy inference</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">For a vehicle equipped with an automatic transmission, the shift control strategy should reflect the driver’s intention in the dynamic performance and the economy performance of the vehicle. However, the driver’s intention is difficult to identify and involve in the shift strategy because of the complexity of driving environments, the diversity of powertrain parameters and the randomness of the driver’s behaviour. Therefore, in this paper, by considering a vehicle equipped with an automated manual transmission as the study object, a novel multi-parameter coordinated shift control strategy is proposed on the basis of identification of the driver’s intention. First, in order to predict the intention of the driver more effectively, the relative opening degree of the accelerator is defined on the basis of the dynamic analysis. Then, the characteristics of the driver’s expected acceleration, which involve the influence of the driving environment, are proposed. They can be classified into five categories, namely stop, deceleration, keep, acceleration and urgent acceleration. Next, a fuzzy control system is designed to identify the driver’s acceleration characteristics in real time. This considers the vehicle speed, the rate of change in the opening degree of the accelerator and the relative opening degree of the accelerator as the inputs and the quantitative intention of the driver as the output. Finally, the novel multi-parameter coordinated shift control strategy is formulated on the basis of the vehicle speed, the opening degree of the accelerator and the quantitative intention of the driver. The designed shift strategy is compared with conventional methods using simulations and is verified by road tests. The results show that the shift control strategy can make the vehicle shift much more effective.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: © IMechE 2016</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Xiaohong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Han, Zongqi</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chen, Junyun</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Jingchao</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Proceedings of the Institution of Mechanical Engineers / D</subfield><subfield code="d">London : Inst., 1984</subfield><subfield code="g">231(2017), 5, Seite 684-699</subfield><subfield code="w">(DE-627)130863122</subfield><subfield code="w">(DE-600)1030849-0</subfield><subfield code="w">(DE-576)023106468</subfield><subfield code="x">0954-4070</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:231</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:5</subfield><subfield code="g">pages:684-699</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1177/0954407016662579</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://journals.sagepub.com/doi/full/10.1177/0954407016662579</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="936" ind1="r" ind2="v"><subfield code="a">ZO 4200:</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">55.20</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">231</subfield><subfield code="j">2017</subfield><subfield code="e">5</subfield><subfield code="h">684-699</subfield></datafield></record></collection>
|
| score |
7.399665 |