TY - JOUR
T1 - Fuel economy optimization of diesel engine for plug-in hybrid electric vehicle based on equivalent operating points
AU - He, Hongwen
AU - Shou, Yiwen
AU - Wang, Hao
N1 - Publisher Copyright:
© 2022
PY - 2022/6
Y1 - 2022/6
N2 - The plug-in hybrid electric vehicle (PHEV) has been progressively penetrated in the urban public transport system for its special advantages of energy saving and emission reduction potential. In order to improve the fuel economy of PHEV engine, an optimization study on the engine control parameters is carried out and applied on a PHEV with a rule-based energy management strategy (EMS) in this paper. Firstly, the mathematical model of diesel engine is established on GT-Power platform to accurately reflect the fuel consumption characteristics of engine. Secondly, a control parameter optimization method based on engine equivalent operating point is proposed and four key engine control parameters are optimized by genetic algorithm (GA). Thirdly, the optimization and calibration of the PHEV engine is performed under ChinaCity driving cycle. The results show that the maximum reduction of engine brake specific fuel consumption (BSFC) on the optimal operation line is 3.56%, and the equivalent fuel consumption of PHEV under ChinaCity, WVUCITY and WVUSUB driving cycles is reduced by 2.62%, 2.24% and 2.05%, respectively.
AB - The plug-in hybrid electric vehicle (PHEV) has been progressively penetrated in the urban public transport system for its special advantages of energy saving and emission reduction potential. In order to improve the fuel economy of PHEV engine, an optimization study on the engine control parameters is carried out and applied on a PHEV with a rule-based energy management strategy (EMS) in this paper. Firstly, the mathematical model of diesel engine is established on GT-Power platform to accurately reflect the fuel consumption characteristics of engine. Secondly, a control parameter optimization method based on engine equivalent operating point is proposed and four key engine control parameters are optimized by genetic algorithm (GA). Thirdly, the optimization and calibration of the PHEV engine is performed under ChinaCity driving cycle. The results show that the maximum reduction of engine brake specific fuel consumption (BSFC) on the optimal operation line is 3.56%, and the equivalent fuel consumption of PHEV under ChinaCity, WVUCITY and WVUSUB driving cycles is reduced by 2.62%, 2.24% and 2.05%, respectively.
KW - Control parameter optimization
KW - Diesel engine
KW - Engine calibration
KW - Equivalent operating point
KW - Plug-in hybrid electric vehicle
UR - http://www.scopus.com/inward/record.url?scp=85127479396&partnerID=8YFLogxK
U2 - 10.1016/j.conengprac.2022.105162
DO - 10.1016/j.conengprac.2022.105162
M3 - Article
AN - SCOPUS:85127479396
SN - 0967-0661
VL - 123
JO - Control Engineering Practice
JF - Control Engineering Practice
M1 - 105162
ER -
