Real-time energy management of fuel cell hybrid electric buses: Fuel cell engines friendly intersection speed planning
In this paper, a novel fuel cell engines friendly real-time energy management is proposed, which considers the intersection speed planning to reduce frequent load change conditions in the process of driving. The main advantage of this energy management is that it can improve road transportation effi...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Jinquan, Guo [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion - Solanki, Nayan ELSEVIER, 2017, the international journal, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:226 ; year:2021 ; day:1 ; month:07 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.energy.2021.120440 |
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ELV053898834 |
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| 520 | |a In this paper, a novel fuel cell engines friendly real-time energy management is proposed, which considers the intersection speed planning to reduce frequent load change conditions in the process of driving. The main advantage of this energy management is that it can improve road transportation efficiency, promote the goal of minimum hydrogen consumption and extend the service life of the fuel cell engines. For the intersection speed planning method, the information of the vehicle in front of the driving route and the traffic signal light states are considered based on dynamic programming (DP). With the intersection speed planning, the corresponding control variable is applied for the model predictive control (MPC) based energy management when the bus is 100m away from the traffic light. The simulation results show that the equivalent hydrogen saving rate can improve by approximately 3.04% and reduce 3.4% idle working conditions compared with the MPC based without intersection speed planning energy management. The hardware in the loop test show that the vehicle speed can follow the target speed, and the equivalent hydrogen consumption error is within 2.5%, which meets the allowable error range. | ||
| 520 | |a In this paper, a novel fuel cell engines friendly real-time energy management is proposed, which considers the intersection speed planning to reduce frequent load change conditions in the process of driving. The main advantage of this energy management is that it can improve road transportation efficiency, promote the goal of minimum hydrogen consumption and extend the service life of the fuel cell engines. For the intersection speed planning method, the information of the vehicle in front of the driving route and the traffic signal light states are considered based on dynamic programming (DP). With the intersection speed planning, the corresponding control variable is applied for the model predictive control (MPC) based energy management when the bus is 100m away from the traffic light. The simulation results show that the equivalent hydrogen saving rate can improve by approximately 3.04% and reduce 3.4% idle working conditions compared with the MPC based without intersection speed planning energy management. The hardware in the loop test show that the vehicle speed can follow the target speed, and the equivalent hydrogen consumption error is within 2.5%, which meets the allowable error range. | ||
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| 650 | 7 | |a Intersection speed planning |2 Elsevier | |
| 700 | 1 | |a Hongwen, He |4 oth | |
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| 700 | 1 | |a Qingwu, Liu |4 oth | |
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10.1016/j.energy.2021.120440 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001629.pica (DE-627)ELV053898834 (ELSEVIER)S0360-5442(21)00689-7 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Jinquan, Guo verfasserin aut Real-time energy management of fuel cell hybrid electric buses: Fuel cell engines friendly intersection speed planning 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, a novel fuel cell engines friendly real-time energy management is proposed, which considers the intersection speed planning to reduce frequent load change conditions in the process of driving. The main advantage of this energy management is that it can improve road transportation efficiency, promote the goal of minimum hydrogen consumption and extend the service life of the fuel cell engines. For the intersection speed planning method, the information of the vehicle in front of the driving route and the traffic signal light states are considered based on dynamic programming (DP). With the intersection speed planning, the corresponding control variable is applied for the model predictive control (MPC) based energy management when the bus is 100m away from the traffic light. The simulation results show that the equivalent hydrogen saving rate can improve by approximately 3.04% and reduce 3.4% idle working conditions compared with the MPC based without intersection speed planning energy management. The hardware in the loop test show that the vehicle speed can follow the target speed, and the equivalent hydrogen consumption error is within 2.5%, which meets the allowable error range. In this paper, a novel fuel cell engines friendly real-time energy management is proposed, which considers the intersection speed planning to reduce frequent load change conditions in the process of driving. The main advantage of this energy management is that it can improve road transportation efficiency, promote the goal of minimum hydrogen consumption and extend the service life of the fuel cell engines. For the intersection speed planning method, the information of the vehicle in front of the driving route and the traffic signal light states are considered based on dynamic programming (DP). With the intersection speed planning, the corresponding control variable is applied for the model predictive control (MPC) based energy management when the bus is 100m away from the traffic light. The simulation results show that the equivalent hydrogen saving rate can improve by approximately 3.04% and reduce 3.4% idle working conditions compared with the MPC based without intersection speed planning energy management. The hardware in the loop test show that the vehicle speed can follow the target speed, and the equivalent hydrogen consumption error is within 2.5%, which meets the allowable error range. FCHEB Elsevier MPC Elsevier SUMO Elsevier DP Elsevier Energy management Elsevier Intersection speed planning Elsevier Hongwen, He oth Jianwei, Li oth Qingwu, Liu oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:226 year:2021 day:1 month:07 pages:0 https://doi.org/10.1016/j.energy.2021.120440 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 226 2021 1 0701 0 |
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10.1016/j.energy.2021.120440 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001629.pica (DE-627)ELV053898834 (ELSEVIER)S0360-5442(21)00689-7 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Jinquan, Guo verfasserin aut Real-time energy management of fuel cell hybrid electric buses: Fuel cell engines friendly intersection speed planning 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, a novel fuel cell engines friendly real-time energy management is proposed, which considers the intersection speed planning to reduce frequent load change conditions in the process of driving. The main advantage of this energy management is that it can improve road transportation efficiency, promote the goal of minimum hydrogen consumption and extend the service life of the fuel cell engines. For the intersection speed planning method, the information of the vehicle in front of the driving route and the traffic signal light states are considered based on dynamic programming (DP). With the intersection speed planning, the corresponding control variable is applied for the model predictive control (MPC) based energy management when the bus is 100m away from the traffic light. The simulation results show that the equivalent hydrogen saving rate can improve by approximately 3.04% and reduce 3.4% idle working conditions compared with the MPC based without intersection speed planning energy management. The hardware in the loop test show that the vehicle speed can follow the target speed, and the equivalent hydrogen consumption error is within 2.5%, which meets the allowable error range. In this paper, a novel fuel cell engines friendly real-time energy management is proposed, which considers the intersection speed planning to reduce frequent load change conditions in the process of driving. The main advantage of this energy management is that it can improve road transportation efficiency, promote the goal of minimum hydrogen consumption and extend the service life of the fuel cell engines. For the intersection speed planning method, the information of the vehicle in front of the driving route and the traffic signal light states are considered based on dynamic programming (DP). With the intersection speed planning, the corresponding control variable is applied for the model predictive control (MPC) based energy management when the bus is 100m away from the traffic light. The simulation results show that the equivalent hydrogen saving rate can improve by approximately 3.04% and reduce 3.4% idle working conditions compared with the MPC based without intersection speed planning energy management. The hardware in the loop test show that the vehicle speed can follow the target speed, and the equivalent hydrogen consumption error is within 2.5%, which meets the allowable error range. FCHEB Elsevier MPC Elsevier SUMO Elsevier DP Elsevier Energy management Elsevier Intersection speed planning Elsevier Hongwen, He oth Jianwei, Li oth Qingwu, Liu oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:226 year:2021 day:1 month:07 pages:0 https://doi.org/10.1016/j.energy.2021.120440 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 226 2021 1 0701 0 |
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10.1016/j.energy.2021.120440 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001629.pica (DE-627)ELV053898834 (ELSEVIER)S0360-5442(21)00689-7 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Jinquan, Guo verfasserin aut Real-time energy management of fuel cell hybrid electric buses: Fuel cell engines friendly intersection speed planning 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, a novel fuel cell engines friendly real-time energy management is proposed, which considers the intersection speed planning to reduce frequent load change conditions in the process of driving. The main advantage of this energy management is that it can improve road transportation efficiency, promote the goal of minimum hydrogen consumption and extend the service life of the fuel cell engines. For the intersection speed planning method, the information of the vehicle in front of the driving route and the traffic signal light states are considered based on dynamic programming (DP). With the intersection speed planning, the corresponding control variable is applied for the model predictive control (MPC) based energy management when the bus is 100m away from the traffic light. The simulation results show that the equivalent hydrogen saving rate can improve by approximately 3.04% and reduce 3.4% idle working conditions compared with the MPC based without intersection speed planning energy management. The hardware in the loop test show that the vehicle speed can follow the target speed, and the equivalent hydrogen consumption error is within 2.5%, which meets the allowable error range. In this paper, a novel fuel cell engines friendly real-time energy management is proposed, which considers the intersection speed planning to reduce frequent load change conditions in the process of driving. The main advantage of this energy management is that it can improve road transportation efficiency, promote the goal of minimum hydrogen consumption and extend the service life of the fuel cell engines. For the intersection speed planning method, the information of the vehicle in front of the driving route and the traffic signal light states are considered based on dynamic programming (DP). With the intersection speed planning, the corresponding control variable is applied for the model predictive control (MPC) based energy management when the bus is 100m away from the traffic light. The simulation results show that the equivalent hydrogen saving rate can improve by approximately 3.04% and reduce 3.4% idle working conditions compared with the MPC based without intersection speed planning energy management. The hardware in the loop test show that the vehicle speed can follow the target speed, and the equivalent hydrogen consumption error is within 2.5%, which meets the allowable error range. FCHEB Elsevier MPC Elsevier SUMO Elsevier DP Elsevier Energy management Elsevier Intersection speed planning Elsevier Hongwen, He oth Jianwei, Li oth Qingwu, Liu oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:226 year:2021 day:1 month:07 pages:0 https://doi.org/10.1016/j.energy.2021.120440 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 226 2021 1 0701 0 |
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10.1016/j.energy.2021.120440 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001629.pica (DE-627)ELV053898834 (ELSEVIER)S0360-5442(21)00689-7 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Jinquan, Guo verfasserin aut Real-time energy management of fuel cell hybrid electric buses: Fuel cell engines friendly intersection speed planning 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, a novel fuel cell engines friendly real-time energy management is proposed, which considers the intersection speed planning to reduce frequent load change conditions in the process of driving. The main advantage of this energy management is that it can improve road transportation efficiency, promote the goal of minimum hydrogen consumption and extend the service life of the fuel cell engines. For the intersection speed planning method, the information of the vehicle in front of the driving route and the traffic signal light states are considered based on dynamic programming (DP). With the intersection speed planning, the corresponding control variable is applied for the model predictive control (MPC) based energy management when the bus is 100m away from the traffic light. The simulation results show that the equivalent hydrogen saving rate can improve by approximately 3.04% and reduce 3.4% idle working conditions compared with the MPC based without intersection speed planning energy management. The hardware in the loop test show that the vehicle speed can follow the target speed, and the equivalent hydrogen consumption error is within 2.5%, which meets the allowable error range. In this paper, a novel fuel cell engines friendly real-time energy management is proposed, which considers the intersection speed planning to reduce frequent load change conditions in the process of driving. The main advantage of this energy management is that it can improve road transportation efficiency, promote the goal of minimum hydrogen consumption and extend the service life of the fuel cell engines. For the intersection speed planning method, the information of the vehicle in front of the driving route and the traffic signal light states are considered based on dynamic programming (DP). With the intersection speed planning, the corresponding control variable is applied for the model predictive control (MPC) based energy management when the bus is 100m away from the traffic light. The simulation results show that the equivalent hydrogen saving rate can improve by approximately 3.04% and reduce 3.4% idle working conditions compared with the MPC based without intersection speed planning energy management. The hardware in the loop test show that the vehicle speed can follow the target speed, and the equivalent hydrogen consumption error is within 2.5%, which meets the allowable error range. FCHEB Elsevier MPC Elsevier SUMO Elsevier DP Elsevier Energy management Elsevier Intersection speed planning Elsevier Hongwen, He oth Jianwei, Li oth Qingwu, Liu oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:226 year:2021 day:1 month:07 pages:0 https://doi.org/10.1016/j.energy.2021.120440 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 226 2021 1 0701 0 |
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10.1016/j.energy.2021.120440 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001629.pica (DE-627)ELV053898834 (ELSEVIER)S0360-5442(21)00689-7 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Jinquan, Guo verfasserin aut Real-time energy management of fuel cell hybrid electric buses: Fuel cell engines friendly intersection speed planning 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this paper, a novel fuel cell engines friendly real-time energy management is proposed, which considers the intersection speed planning to reduce frequent load change conditions in the process of driving. The main advantage of this energy management is that it can improve road transportation efficiency, promote the goal of minimum hydrogen consumption and extend the service life of the fuel cell engines. For the intersection speed planning method, the information of the vehicle in front of the driving route and the traffic signal light states are considered based on dynamic programming (DP). With the intersection speed planning, the corresponding control variable is applied for the model predictive control (MPC) based energy management when the bus is 100m away from the traffic light. The simulation results show that the equivalent hydrogen saving rate can improve by approximately 3.04% and reduce 3.4% idle working conditions compared with the MPC based without intersection speed planning energy management. The hardware in the loop test show that the vehicle speed can follow the target speed, and the equivalent hydrogen consumption error is within 2.5%, which meets the allowable error range. In this paper, a novel fuel cell engines friendly real-time energy management is proposed, which considers the intersection speed planning to reduce frequent load change conditions in the process of driving. The main advantage of this energy management is that it can improve road transportation efficiency, promote the goal of minimum hydrogen consumption and extend the service life of the fuel cell engines. For the intersection speed planning method, the information of the vehicle in front of the driving route and the traffic signal light states are considered based on dynamic programming (DP). With the intersection speed planning, the corresponding control variable is applied for the model predictive control (MPC) based energy management when the bus is 100m away from the traffic light. The simulation results show that the equivalent hydrogen saving rate can improve by approximately 3.04% and reduce 3.4% idle working conditions compared with the MPC based without intersection speed planning energy management. The hardware in the loop test show that the vehicle speed can follow the target speed, and the equivalent hydrogen consumption error is within 2.5%, which meets the allowable error range. FCHEB Elsevier MPC Elsevier SUMO Elsevier DP Elsevier Energy management Elsevier Intersection speed planning Elsevier Hongwen, He oth Jianwei, Li oth Qingwu, Liu oth Enthalten in Elsevier Science Solanki, Nayan ELSEVIER Rheological analysis of itraconazole-polymer mixtures to determine optimal melt extrusion temperature for development of amorphous solid dispersion 2017 the international journal Amsterdam [u.a.] (DE-627)ELV000529575 volume:226 year:2021 day:1 month:07 pages:0 https://doi.org/10.1016/j.energy.2021.120440 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA 44.40 Pharmazie Pharmazeutika VZ AR 226 2021 1 0701 0 |
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Real-time energy management of fuel cell hybrid electric buses: Fuel cell engines friendly intersection speed planning |
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In this paper, a novel fuel cell engines friendly real-time energy management is proposed, which considers the intersection speed planning to reduce frequent load change conditions in the process of driving. The main advantage of this energy management is that it can improve road transportation efficiency, promote the goal of minimum hydrogen consumption and extend the service life of the fuel cell engines. For the intersection speed planning method, the information of the vehicle in front of the driving route and the traffic signal light states are considered based on dynamic programming (DP). With the intersection speed planning, the corresponding control variable is applied for the model predictive control (MPC) based energy management when the bus is 100m away from the traffic light. The simulation results show that the equivalent hydrogen saving rate can improve by approximately 3.04% and reduce 3.4% idle working conditions compared with the MPC based without intersection speed planning energy management. The hardware in the loop test show that the vehicle speed can follow the target speed, and the equivalent hydrogen consumption error is within 2.5%, which meets the allowable error range. |
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In this paper, a novel fuel cell engines friendly real-time energy management is proposed, which considers the intersection speed planning to reduce frequent load change conditions in the process of driving. The main advantage of this energy management is that it can improve road transportation efficiency, promote the goal of minimum hydrogen consumption and extend the service life of the fuel cell engines. For the intersection speed planning method, the information of the vehicle in front of the driving route and the traffic signal light states are considered based on dynamic programming (DP). With the intersection speed planning, the corresponding control variable is applied for the model predictive control (MPC) based energy management when the bus is 100m away from the traffic light. The simulation results show that the equivalent hydrogen saving rate can improve by approximately 3.04% and reduce 3.4% idle working conditions compared with the MPC based without intersection speed planning energy management. The hardware in the loop test show that the vehicle speed can follow the target speed, and the equivalent hydrogen consumption error is within 2.5%, which meets the allowable error range. |
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In this paper, a novel fuel cell engines friendly real-time energy management is proposed, which considers the intersection speed planning to reduce frequent load change conditions in the process of driving. The main advantage of this energy management is that it can improve road transportation efficiency, promote the goal of minimum hydrogen consumption and extend the service life of the fuel cell engines. For the intersection speed planning method, the information of the vehicle in front of the driving route and the traffic signal light states are considered based on dynamic programming (DP). With the intersection speed planning, the corresponding control variable is applied for the model predictive control (MPC) based energy management when the bus is 100m away from the traffic light. The simulation results show that the equivalent hydrogen saving rate can improve by approximately 3.04% and reduce 3.4% idle working conditions compared with the MPC based without intersection speed planning energy management. The hardware in the loop test show that the vehicle speed can follow the target speed, and the equivalent hydrogen consumption error is within 2.5%, which meets the allowable error range. |
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