Multivariate optimization for maximum capacity of lead acid battery through Taguchi method

The battery is an important electrochemical constituent for sustaining the trouble free and uninterrupted service to its users. Estimation of battery capacity and various states are very important to efficiently allocated available energy and to reduce the possibility of system failure. The estimati...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Vyas, Mayank [verfasserIn] Jain, Mahaveer [verfasserIn] Pareek, Kapil [verfasserIn] Garg, Akhil [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	VRLA battery Capacity Sate of charge Taguchi method Regression model

Übergeordnetes Werk:	Enthalten in: Measurement - Amsterdam [u.a.] : Elsevier Science, 1983, 148
Übergeordnetes Werk:	volume:148

DOI / URN:	10.1016/j.measurement.2019.106904

Katalog-ID:	ELV002927462

Internformat


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245	1	0	\|a Multivariate optimization for maximum capacity of lead acid battery through Taguchi method
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520			\|a The battery is an important electrochemical constituent for sustaining the trouble free and uninterrupted service to its users. Estimation of battery capacity and various states are very important to efficiently allocated available energy and to reduce the possibility of system failure. The estimation could become more complicated when the investigations are to be made under multiple parameters. In this research work, Taguchi method is used to achieve maximum capacity of 12 V 7.2 Ah AMARON SLA SMF battery under condition of C-rate, temperature and relative humidity. A regression model based on the experimental results is developed and validated by high R2 values (97.02%) for maximum capacity attained. Estimated operating conditions obtained for objective function by regression model equation are; C-rate 0.05C, temperature 313 K and relative humidity 25%. The results will shed light on better understanding the effect of multiple parameters on capacity of lead acid battery.
650		4	\|a VRLA battery
650		4	\|a Capacity
650		4	\|a Sate of charge
650		4	\|a Taguchi method
650		4	\|a Regression model
700	1		\|a Jain, Mahaveer \|e verfasserin \|4 aut
700	1		\|a Pareek, Kapil \|e verfasserin \|4 aut
700	1		\|a Garg, Akhil \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Measurement \|d Amsterdam [u.a.] : Elsevier Science, 1983 \|g 148 \|h Online-Ressource \|w (DE-627)320404927 \|w (DE-600)2000550-7 \|w (DE-576)259484342 \|7 nnns
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912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
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912			\|a GBV_ILN_2152
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allfields	10.1016/j.measurement.2019.106904 doi (DE-627)ELV002927462 (ELSEVIER)S0263-2241(19)30761-4 DE-627 ger DE-627 rda eng 660 DE-600 50.21 bkl Vyas, Mayank verfasserin aut Multivariate optimization for maximum capacity of lead acid battery through Taguchi method 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The battery is an important electrochemical constituent for sustaining the trouble free and uninterrupted service to its users. Estimation of battery capacity and various states are very important to efficiently allocated available energy and to reduce the possibility of system failure. The estimation could become more complicated when the investigations are to be made under multiple parameters. In this research work, Taguchi method is used to achieve maximum capacity of 12 V 7.2 Ah AMARON SLA SMF battery under condition of C-rate, temperature and relative humidity. A regression model based on the experimental results is developed and validated by high R2 values (97.02%) for maximum capacity attained. Estimated operating conditions obtained for objective function by regression model equation are; C-rate 0.05C, temperature 313 K and relative humidity 25%. The results will shed light on better understanding the effect of multiple parameters on capacity of lead acid battery. VRLA battery Capacity Sate of charge Taguchi method Regression model Jain, Mahaveer verfasserin aut Pareek, Kapil verfasserin aut Garg, Akhil verfasserin aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 148 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:148 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.21 Messtechnik AR 148
spelling	10.1016/j.measurement.2019.106904 doi (DE-627)ELV002927462 (ELSEVIER)S0263-2241(19)30761-4 DE-627 ger DE-627 rda eng 660 DE-600 50.21 bkl Vyas, Mayank verfasserin aut Multivariate optimization for maximum capacity of lead acid battery through Taguchi method 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The battery is an important electrochemical constituent for sustaining the trouble free and uninterrupted service to its users. Estimation of battery capacity and various states are very important to efficiently allocated available energy and to reduce the possibility of system failure. The estimation could become more complicated when the investigations are to be made under multiple parameters. In this research work, Taguchi method is used to achieve maximum capacity of 12 V 7.2 Ah AMARON SLA SMF battery under condition of C-rate, temperature and relative humidity. A regression model based on the experimental results is developed and validated by high R2 values (97.02%) for maximum capacity attained. Estimated operating conditions obtained for objective function by regression model equation are; C-rate 0.05C, temperature 313 K and relative humidity 25%. The results will shed light on better understanding the effect of multiple parameters on capacity of lead acid battery. VRLA battery Capacity Sate of charge Taguchi method Regression model Jain, Mahaveer verfasserin aut Pareek, Kapil verfasserin aut Garg, Akhil verfasserin aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 148 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:148 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.21 Messtechnik AR 148
allfields_unstemmed	10.1016/j.measurement.2019.106904 doi (DE-627)ELV002927462 (ELSEVIER)S0263-2241(19)30761-4 DE-627 ger DE-627 rda eng 660 DE-600 50.21 bkl Vyas, Mayank verfasserin aut Multivariate optimization for maximum capacity of lead acid battery through Taguchi method 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The battery is an important electrochemical constituent for sustaining the trouble free and uninterrupted service to its users. Estimation of battery capacity and various states are very important to efficiently allocated available energy and to reduce the possibility of system failure. The estimation could become more complicated when the investigations are to be made under multiple parameters. In this research work, Taguchi method is used to achieve maximum capacity of 12 V 7.2 Ah AMARON SLA SMF battery under condition of C-rate, temperature and relative humidity. A regression model based on the experimental results is developed and validated by high R2 values (97.02%) for maximum capacity attained. Estimated operating conditions obtained for objective function by regression model equation are; C-rate 0.05C, temperature 313 K and relative humidity 25%. The results will shed light on better understanding the effect of multiple parameters on capacity of lead acid battery. VRLA battery Capacity Sate of charge Taguchi method Regression model Jain, Mahaveer verfasserin aut Pareek, Kapil verfasserin aut Garg, Akhil verfasserin aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 148 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:148 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.21 Messtechnik AR 148
allfieldsGer	10.1016/j.measurement.2019.106904 doi (DE-627)ELV002927462 (ELSEVIER)S0263-2241(19)30761-4 DE-627 ger DE-627 rda eng 660 DE-600 50.21 bkl Vyas, Mayank verfasserin aut Multivariate optimization for maximum capacity of lead acid battery through Taguchi method 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The battery is an important electrochemical constituent for sustaining the trouble free and uninterrupted service to its users. Estimation of battery capacity and various states are very important to efficiently allocated available energy and to reduce the possibility of system failure. The estimation could become more complicated when the investigations are to be made under multiple parameters. In this research work, Taguchi method is used to achieve maximum capacity of 12 V 7.2 Ah AMARON SLA SMF battery under condition of C-rate, temperature and relative humidity. A regression model based on the experimental results is developed and validated by high R2 values (97.02%) for maximum capacity attained. Estimated operating conditions obtained for objective function by regression model equation are; C-rate 0.05C, temperature 313 K and relative humidity 25%. The results will shed light on better understanding the effect of multiple parameters on capacity of lead acid battery. VRLA battery Capacity Sate of charge Taguchi method Regression model Jain, Mahaveer verfasserin aut Pareek, Kapil verfasserin aut Garg, Akhil verfasserin aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 148 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:148 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.21 Messtechnik AR 148
allfieldsSound	10.1016/j.measurement.2019.106904 doi (DE-627)ELV002927462 (ELSEVIER)S0263-2241(19)30761-4 DE-627 ger DE-627 rda eng 660 DE-600 50.21 bkl Vyas, Mayank verfasserin aut Multivariate optimization for maximum capacity of lead acid battery through Taguchi method 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The battery is an important electrochemical constituent for sustaining the trouble free and uninterrupted service to its users. Estimation of battery capacity and various states are very important to efficiently allocated available energy and to reduce the possibility of system failure. The estimation could become more complicated when the investigations are to be made under multiple parameters. In this research work, Taguchi method is used to achieve maximum capacity of 12 V 7.2 Ah AMARON SLA SMF battery under condition of C-rate, temperature and relative humidity. A regression model based on the experimental results is developed and validated by high R2 values (97.02%) for maximum capacity attained. Estimated operating conditions obtained for objective function by regression model equation are; C-rate 0.05C, temperature 313 K and relative humidity 25%. The results will shed light on better understanding the effect of multiple parameters on capacity of lead acid battery. VRLA battery Capacity Sate of charge Taguchi method Regression model Jain, Mahaveer verfasserin aut Pareek, Kapil verfasserin aut Garg, Akhil verfasserin aut Enthalten in Measurement Amsterdam [u.a.] : Elsevier Science, 1983 148 Online-Ressource (DE-627)320404927 (DE-600)2000550-7 (DE-576)259484342 nnns volume:148 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 50.21 Messtechnik AR 148
language	English
source	Enthalten in Measurement 148 volume:148
sourceStr	Enthalten in Measurement 148 volume:148
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topic_facet	VRLA battery Capacity Sate of charge Taguchi method Regression model
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authorswithroles_txt_mv	Vyas, Mayank @@aut@@ Jain, Mahaveer @@aut@@ Pareek, Kapil @@aut@@ Garg, Akhil @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
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author	Vyas, Mayank
spellingShingle	Vyas, Mayank ddc 660 bkl 50.21 misc VRLA battery misc Capacity misc Sate of charge misc Taguchi method misc Regression model Multivariate optimization for maximum capacity of lead acid battery through Taguchi method
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topic_title	660 DE-600 50.21 bkl Multivariate optimization for maximum capacity of lead acid battery through Taguchi method VRLA battery Capacity Sate of charge Taguchi method Regression model
topic	ddc 660 bkl 50.21 misc VRLA battery misc Capacity misc Sate of charge misc Taguchi method misc Regression model
topic_unstemmed	ddc 660 bkl 50.21 misc VRLA battery misc Capacity misc Sate of charge misc Taguchi method misc Regression model
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title	Multivariate optimization for maximum capacity of lead acid battery through Taguchi method
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title_full	Multivariate optimization for maximum capacity of lead acid battery through Taguchi method
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title_sort	multivariate optimization for maximum capacity of lead acid battery through taguchi method
title_auth	Multivariate optimization for maximum capacity of lead acid battery through Taguchi method
abstract	The battery is an important electrochemical constituent for sustaining the trouble free and uninterrupted service to its users. Estimation of battery capacity and various states are very important to efficiently allocated available energy and to reduce the possibility of system failure. The estimation could become more complicated when the investigations are to be made under multiple parameters. In this research work, Taguchi method is used to achieve maximum capacity of 12 V 7.2 Ah AMARON SLA SMF battery under condition of C-rate, temperature and relative humidity. A regression model based on the experimental results is developed and validated by high R2 values (97.02%) for maximum capacity attained. Estimated operating conditions obtained for objective function by regression model equation are; C-rate 0.05C, temperature 313 K and relative humidity 25%. The results will shed light on better understanding the effect of multiple parameters on capacity of lead acid battery.
abstractGer	The battery is an important electrochemical constituent for sustaining the trouble free and uninterrupted service to its users. Estimation of battery capacity and various states are very important to efficiently allocated available energy and to reduce the possibility of system failure. The estimation could become more complicated when the investigations are to be made under multiple parameters. In this research work, Taguchi method is used to achieve maximum capacity of 12 V 7.2 Ah AMARON SLA SMF battery under condition of C-rate, temperature and relative humidity. A regression model based on the experimental results is developed and validated by high R2 values (97.02%) for maximum capacity attained. Estimated operating conditions obtained for objective function by regression model equation are; C-rate 0.05C, temperature 313 K and relative humidity 25%. The results will shed light on better understanding the effect of multiple parameters on capacity of lead acid battery.
abstract_unstemmed	The battery is an important electrochemical constituent for sustaining the trouble free and uninterrupted service to its users. Estimation of battery capacity and various states are very important to efficiently allocated available energy and to reduce the possibility of system failure. The estimation could become more complicated when the investigations are to be made under multiple parameters. In this research work, Taguchi method is used to achieve maximum capacity of 12 V 7.2 Ah AMARON SLA SMF battery under condition of C-rate, temperature and relative humidity. A regression model based on the experimental results is developed and validated by high R2 values (97.02%) for maximum capacity attained. Estimated operating conditions obtained for objective function by regression model equation are; C-rate 0.05C, temperature 313 K and relative humidity 25%. The results will shed light on better understanding the effect of multiple parameters on capacity of lead acid battery.
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title_short	Multivariate optimization for maximum capacity of lead acid battery through Taguchi method
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author2	Jain, Mahaveer Pareek, Kapil Garg, Akhil
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up_date	2024-07-06T17:55:15.429Z
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Multivariate optimization for maximum capacity of lead acid battery through Taguchi method

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