Energy saving control strategy of PHEV based on multi-condition analysis

doi:10.3969/j.issn.1674-8484.2020.04.015

Abstract

Abstract:

An energy management control strategy and its fuel saving effect was obtained for plug-in hybrid electric vehicles (PHEV). Experimental analysis was made under different operating modes: Steady-state conditions, accelerated conditions, braking conditions and New European Driving Cycle (NEDC) conditions. The results were compared with a new built model of traditional dynamic simulation. The results show that the torque distribution strategy of motor and engine is affected only under low charge state (SOC) and medium and low throttle opening. When the whole vehicle demand power is within 5 kW, it adopts pure electric drive to avoid the low engine efficiency area. When the vehicle enters the braking energy recovery mode, the motor only provides the maximum recovery power of 50 kW. The vehicle fuel economy reaches 23.4%. Therefore, this PHEV vehicle realizes reasonable operation mode management with high engine operation efficiency and high energy utilization.

Key words: plug-in hybrid electric vehicle (PHEV), energy management control strategy, operation mode, state of charge (SOC), braking power, simulation modeling

CLC Number:

U461.8

NIU Yazhuo, NIE Guole, YANG Jianjun, LIU Shuangxi, BAI Bateer. Energy saving control strategy of PHEV based on multi-condition analysis[J]. Journal of Automotive Safety and Energy, 2020, 11(4): 546-552.

Figures/Tables 12

References 18

[1]	Salisa A R, ZHANG Nong, ZHU Jianguo. A comparative analysis of fuel economy and emissions between a conventional HEV and the UTS PHEV[J]. IEEE Trans Vehi Tech, 2011,60(1):44-54.
[2]	Torres J L, Gonzalez R, Gimenez A. Energy management strategy for plug-in hybrid electric vehicles. A comparative study[J]. Appl Energy, 2014,113:816-824.
[3]	Stockar S, Tulpule P, Marano V, et al. Energy, economic and environmental analysis of plug-in hybrids electric vehicles based on common driving cycles[J]. SAE Int’l J Engines, 2010,2(2):467-476.
[4]	王志勇, 韩善灵, 张鑫, 等. 插电式混合动力汽车能量管理策略发展综述[J]. 科学技术与工程, 2019,19(12):8-15.
	WANG Zhiyong, HAN Shanling, ZHANG Xinet, et al. A review of power management strategy for plug-in hybrid electric vehicles[J]. Sci Tech Engi, 2019,19(12):8-15. (in Chinese)
[5]	王钦普, 游思雄, 李亮, 等. 插电式混合动力汽车能量管理策略研究综述[J]. 机械工程学报, 2017,53(16):1-19.
	WANG Qinpu, YOU Sixiong, LI Liang, et al. Survey on energy management strategy for plug-in hybrid electric vehicles[J]. J Mechanical Engi, 2017,53(16):1-19. (in Chinese)
[6]	苏岭, 曾育平, 秦大同. 插电式混合动力汽车能量管理策略研究现状和发展趋势[J]. 重庆大学学报, 2017,40(2):10-15.
	SU Ling, ZENG Yuping, QIN Datong. Current situation and development trend of plug - in hybrid electric Vehicle’s energy management strategies[J]. J Chongqing Univ, 2017, 40(2):10-15.
[7]	付翔, 袁雷, 纪剑. 单轴并联式混合动力汽车动力系统转矩分配策略研究[J]. 公路交通科技, 2018,35(1):129-136.
	FU Xiang, YUAN Lei, JI Jian. Study on torque distribution strategy of power system of single axis parallel hybrid power vehicle[J]. J Highway Transp Res Dev, 2018,35(1):129-136.. (in Chinese)
[8]	IDE Hirohito, SUNAGA Yoshihiro, HIGUCHI Naritomo. Development of SPORT HYBRID i-MMD control system for 2014 model year accord[C]. Honda R&D Tech Rev, 2013,25(2):42-48.
[9]	GAO Huien, CHU Liang, GUO Jianhua, et al. Design and strategy of series-parallel hybrid system based on BSFC[J]. J Beijing Inst of Tech, 2018,27(4):564-574.(a Journal of China that in English)
	高会恩, 初亮, 郭建华, 等. 基于BSFC的串并联混合系统策略设计[J]. 北京理工大学学报: 英文版, 2018,27(4):564-574.
[10]	MING Lü, YING Yang, LIANG Lijie, et al. Energy management strategy of a plug-in parallel hybrid electric vehicle using fuzzy control[J]. Energy Procedia, 2017, 105:2660-2665.
[11]	Soldo J, Skugor B, Deur J. Optimal energy management control of a parallel plug-in hybrid electric vehicle in the presence of low emission zones[R]. SAE Tech Paper, 2019-01-1215.
[12]	Kim N, Moawad A, Shidore N. Rousseau A. Fuel consumption and cost potential of different plug-in hybrid vehicle architectures[J]. SAE Int’l J Alt Power, 2015,4(1):88-99.
[13]	Jeong J, Kim N, Stutenberg K, et al. Analysis and model validation of the Toyota Prius Prime[R]. SAE Tech Paper, 2019-01-0369.
[14]	Cubito C, Rolando L, Millo F, et al. Energy management analysis under different operating modes for a euro-6 plug-in hybrid passenger car[R]. SAE Tech Paper, 2017-01-1160.
[15]	Di Russo M, Arora V, Lyu R, et al. On-road and chassis dynamometer evaluation of a pre-transmission parallel PHEV[R]. SAE Tech Paper, 2019-01-0365.
[16]	LI Peng, HE Dongwei, YANG Wenbin. Research on PHEV logic threshold energy management strategy based on engine optimal working curve[J]. IOP Conf Series: Earth Envi Sci, 2019,237(3):1-8.
[17]	李贵炎, 鲁植雄. 插电式混合动力整车能量管理控制策略[J]. 沈阳工业大学学报, 2018,40(4):410-414.
	LI Guiyan, LU Zhixiong. Energy management control strategy for plug-in hybrid electric vehicle[J]. J Shenyang Univ of Tech, 2018, 40(4):410-414. (in Chinese)
[18]	刘辉, 李训明, 王伟达, 等. 基于最优功率分配因子的插电式混合动力汽车实时能量管理策略研究[J]. 机械工程学报, 2019,55(4):91-101.
	LIU Hui, LI Xunming, WANG Weida, et al. Optimal power allocation factor based real time energy management strategy for a plug-in hybrid electric vehicle[J]. J Mech Engineering, 2019,55(4):91-101. (in Chinese)

整车	整备质量	1.6 t
整车	轴距	2.7 m
发动机	最大功率	110 kW
	最大转矩	250 Nm
	最高转速	6 000 r·min^-1
变速器	挡位	6
	各挡速比	3.461、2.150、1.464、1.078、1.093、0.921
	主减速比	4.059、3.140
电机	最大功率	80 kW
	最大转矩	330 Nm
	最高转速	7 000 r·min^-1
电池	电压	350 V
电池	容量	8.8 kW

整车	整备质量	1.6 t
整车	轴距	2.7 m
发动机	最大功率	110 kW
	最大转矩	250 Nm
	最高转速	6 000 r·min^-1
变速器	挡位	6
	各挡速比	3.461、2.150、1.464、1.078、1.093、0.921
	主减速比	4.059、3.140
电机	最大功率	80 kW
	最大转矩	330 Nm
	最高转速	7 000 r·min^-1
电池	电压	350 V
电池	容量	8.8 kW