Energy Management of Multi-mode Coupling Drive System Based on Driver Intention Recognition

doi:10.3901/JME.2019.18.112

Abstract

Abstract: The matched multi-mode coupling drive system can make the plug-in hybrid vehicle have high-efficiency centralized and distributed coupling drive functions, but the research on the vehicle economics based on the system is still insufficient. In order to reduce the vehicle energy consumption, the system energy optimization management based on driving intention identification is carried out. A fuzzy inference controller is used to identify the driver intention under different driving conditions. The working mode is classified according to the system dynamic coupling modes, the engine operating characteristic and the motors efficiency. The fuel economy objective function is established. The equivalent consumption minimization strategy (ECMS) as instantaneous optimization method is used to distributed the engine, the main motor and the auxiliary motor's torque. Finally, the energy management strategy based on the driver intention recognition is proposed. The fuzzy inference model and the vehicle model are built, and the new europe driving cycle (NEDC)and actual speed test results are taken as the simulated cycle to carry out the simulation analysis of the vehicle economy. Research results indicate that the fuzzy inference model canidentify the driver intentions effectively, the drive modes switchand the drive torque distribution can be easily implemented according to the control strategy, which significantly improves the vehicle fuel economy. This energy optimization study for the multi-mode coupling drive system for the first time laid the theoretical foundation for efficient use of the system.

Key words: plug-in hybrid electric vehicle, multi-mode coupling drive system, fuzzy inference, driver intention, energy management

CLC Number:

U469

ZHANG Lipeng, JIA Qikang, LIU Wei, ZHAO Yuqin. Energy Management of Multi-mode Coupling Drive System Based on Driver Intention Recognition[J]. Journal of Mechanical Engineering, 2019, 55(18): 112-124.

References

[1] 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. Survery on energy management strategy for plug-in hybrid electric vehicles[J]. Journal of Mechanical Engineering,2017,53(16):1-19.
[2] ZHU Hongjun,LI Liang,JIN Maojing,et al. Real-time yaw rate prediction based on a non-linear model and feedback compensation for vehicle dynamics control[J]. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering,2013,227(10):1431-1445.
[3] ZHANG Lipeng,LI Liang,QI Bingnan,et al. Parameters optimum matching of pure electric vehicle dual-mode coupling drive system[J]. Science China Technological Sciences,2014,57(11):2265-2277.
[4] ZHANG Lipeng,LI Liang,QI Bingnan,et al. Powertrain design and energy management of a novel coaxial series-parallel plug-in hybrid electric vehicle[J]. Science China Technological Sciences,2016,59(4):618-630.
[5] 张利鹏,谷定杰,祁炳楠. 一种插电式混合动力汽车多模耦合驱动系统:中国,201610246181.5[P]. 2019-02-01. ZHANG Lipeng,GU Dingjie,QI Bingnan. A multi-mode coupling drive system for plug-in hybrid electric vehicle:China,201610246181.5[P]. 2019-02-01.
[6] 刘靖超. 插电式混合动力汽车多模耦合驱动系统参数优化研究[D]. 秦皇岛:燕山大学,2017. LIU Jingchao. Study on parameters optimization of plug-in hybrid electric vehicle multi-mode coupling drive system[D]. Qinhuangdao:Yanshan University,2017.
[7] 王玉海,宋健,李兴坤. 驾驶员意图与行驶环境的统一识别及实时算法[J]. 机械工程学报,2006,42(4):206-212. WANG Yuhai,SONG Jian,LI Xingkun. Integrated inference of driver's intentions and driving environment and real-time algorithm[J]. Journal of Mechanical Engineering,2006,42(4):206-212.
[8] 王庆年,唐先智,王鹏宇,等. 基于驾驶意图识别的混合动力汽车控制策略[J]. 吉林大学学报,2012,42(4):789-795. WANG Qingnian,TANG xianzhi,WANG Pengyu,et al. Control strategy of hybrid electric vehicle based on driving intention identification[J]. Journal of Jilin University,2012,42(4):789-795.
[9] WINDRIDGE D,SHAUKAT A,HOLLNAGEL E. Characterizing driver Intention via hierarchical perception-action modeling[J]. IEEE Transactions on Human-Machine Systems,2012,43(1):17-31.
[10] MURPHEY L,PARK J,KILIARIS L,et al. Intelligent hybrid vehicle power control. Part 2. Online intelligent energy management[J]. IEEE Transactions on Vehicular Technology,2013,62(1):69-79.
[11] GUARDIOLA C,PLA B,REIG A. Modelling driving behavior and its impact on the energy management problem in hybrid electric vehicles[J]. International Journal of Computer Mathematics,2014,91(1):147-156.
[12] GILMAN E,KESKINARKAUS A,TAMMINEN S,et al. Personalised assistance for fuel-efficient driving[J]. Transportation Research Part C,2015,58:681-705.
[13] 宗长富,王畅,何磊,等. 基于双层隐式马尔科夫模型的驾驶意图辨识[J]. 汽车工程,2011,33(8):701-706. ZONG Changfu,WANG Chang,HE Lei,et al. Driving intention recognition based on double-layeHMM[J]. Automotive Engineering,2011,33(8):701-706.
[14] 王庆年,唐先智,王鹏宇,等. 基于神经网络的混合动力汽车驾驶意图识别方法[J]. 农业机械学报,2012,43(8):38-42. WANG Qingnian,TANG Xianzhi,WANG Pengyu,et al. Driving intention identification method for hybrid vehicles based on neural network[J]. Transactions of the Chinese Society for Agricultural Machinery,2012,43(8):38-42.
[15] 林巨广,顾杰,朱茂飞. 基于驾驶意图模糊识别的PHEV输出转矩控制的研究[J]. 汽车工程,2012,34(11):984-989. LIN Juguang,GU Jie,ZHU Maofei. A study on PHEV output torque control based on fuzzy recognition of driver's intention[J]. Automotive Engineering,2012,34(11):984-989.
[16] 祝俪菱,刘澜,赵新朋,等. 基于支持向量机的车辆驾驶行为识别研究[J]. 交通运输系统工程与信息,2017,17(1):91-97. ZHU Liling,LIU Lan,ZHAO Xinpeng. et al. Driver behavior recognition based on support vector machine[J]. Journal of Transportation Systems Engineering and Information Technology,2017,17(1):91-97.
[17] WANG Yuhai,SONG Jian,LI Xingkun. Study on inference of driver's intentions based on fuzzy reasoning[J]. Journal of Highway and Transportation Research and Development,2005,22(12):113-118.
[18] 张利鹏,董闯闯,杨刘权,等. 一种混合动力汽车电动增速离合器及其控制方法:中国,201810046713.X[P]. 2018-07-31. ZHANG Lipeng,DONG Chuangchuang,YANG Liuquan,et al. The design and control method of a speed-up clutch for hybrid electric vehicles:China,201810046713.X[P]. 2018-07-31.
[19] 黄硕,李亮,杨超,等. 基于规则修正的同轴并联混合动力客车瞬时优化能量分配策略[J]. 机械工程学报,2014,50(20):113-121. HUANG Shuo,LI Liang,YANG Chao,et al. Rule correction-based instantaneous optimal energy management strategy for single-shaft parallel hybrid electric bus[J]. Journal of Mechanical Engineering,2014,50(20):113-121.
[20] WANG Qingnian,TANG Xianzhi,SUN Lei. Driving intention identification method for hybrid vehicles based on fuzzy logic inference[J]. Lecture Notes in Electrical Engineering,2010,43(8):16-19.
[21] 高建平,赵金宝,杨松,等. 基于驾驶意图的插电式混合动力公交车控制策略[J]. 机械工程学报,2016,52(24):107-114. GAO Jianping,ZHAO Jinbao,YANG Song,et al. Control strategy of plug-in hybrid electric bus based on driver intention[J]. Journal of Mechanical Engineering,2016,52(24):107-114.
[22] 董炜,陈卫征,徐晓滨,等. 基于可分性测度的模糊隶属函数确定方法[J]. 控制与决策,2014(11):2089-2093. DONG Wei,CHEN Weizheng,XU Xiaobin,et al. Determination method of fuzzy membership function based on separabilitymeasure[J]. Control and Decision,2014(11):2089-2093.
[23] 武小兰,白志峰,史小辉,等. PHEV模糊能量管理策略优化设计[J]. 系统仿真学报,2018(1):242-248. WU Xiaolan,BAI Zhifeng,SHI Xiaohui,et al. Optimization design of fuzzy energy management for plug-in hybrid electric vehicles[J]. Journal of System Simulation,2018(1):242-248.
[24] JEONG S,HAN C,HUA L,et al. Systematic design of membership functions for fuzzy logic control of variable speed refrigeration system[J]. Applied Thermal Engineering,2018,142(82):303-310.
[25] 罗熊,孙增圻. 计算智能方法优化设计模糊控制系统:现状与展望[J]. 控制与决策,2007,22(9):961-966. LUO Xiong,SUN Zengqi. Status and development of optimal design for fuzzy control system based on computational intelligence algorithms[J]. Control and Decision,2007,22(9):961-966.
[26] ZHANG Yu,MENG Dawei,ZHOU Meilan,et al. Management strategy based on genetic algorithm optimization for PHEV[J]. International Journal of Control & Automation,2014,7(11):399-408.
[27] 王君. 基于模糊控制策略的温室远程智能控制系统的研究[D]. 长春:吉林大学,2015. WANG Jun.Research on intelligent greenhouse remote control systembased on fuzzy control strategy[D]. Changchun:Jilin University,2015.
[28] 邹彦艳,吴宇轩,宋振宇,等. 基于改进遗传算法的模糊控制器设计[J]. 自动化技术与应用,2013,32(11):6-10. ZOU Yanyan,WU Wuxuan,SONG Zhenyu,et al. Design of fuzzy controllers based on improved genetic algorithms[J]. Techniques of Automation & Applications,2013,32(11):6-10.
[29] KHAN M W,CHOUDHRY M A,ZEESHAN M,et al. Adaptive fuzzy multivariable controller design based on genetic algorithm for an air handling unit[J]. Energy,2015,81:477-488.
[30] 郭景华,胡平,李琳辉,等. 基于遗传优化的无人车横向模糊控制[J]. 机械工程学报,2012,48(6):76-82. GUO Jinghua,HU Ping,LI Linhui,et al. Study on lateral fuzzy control of unmanned vehicles via genetic algorithms[J]. Journal of Mechanical Engineering,2012,48(6):76-82.
[31] 尹安东,赵韩,张辉. 基于遗传-蚁群算法的PHEB模糊控制策略优化[J]. 中国机械工程,2011,22(14):1754-1759. YIN Andong,ZHAO Han,ZHANG Hui. Optimization of fuzzy control strategy for parallel hybrid electric bus based on genetic-ant colony algorithm[J]. China Mechanical Engineering,2011,22(14):1754-1759.
[32] YIN He,ZHOU Wenhao,LI Mian,et al. An adaptive fuzzy logic-based energy management strategy on battery/ultracapacitor hybrid electric vehicles[J]. IEEE Transactions on Transportation Electrification,2016,2(3):300-311.
[33] 杨亚联,叶盼,胡晓松,等. 基于DP优化的ISG型速度耦合混合动力汽车模糊控制策略的研究[J]. 汽车工程,2016,38(6):674-679. YAN Yalian,YE Pan,HU Xiaosong,et al. A research on the fuzzy control strategy for a speed-coupling ISG HEV based on dynamic programming optimization[J]. Automotive Engineering,2016,38(6):674-679.
[34] XIONG Rui,YU Quanqing,WANG Leyi. Open circuit voltage and state of charge online estimation for lithium ion batteries[J]. Energy Procedia,2017,142:1902-1907.
[35] 刘永刚,李杰,秦大同,等. 基于多工况优化算法的混合电动汽车参数优化[J]. 机械工程学报,2017,53(16):61-69. LIU Yonggang,LI Jie,QIN Datong,et al. Parameter optimization of hybrid electric vehicle based on multi-cycle optimization algorithm[J]. Journal of Mechanical Engineering,2017,53(16):61-69.
[36] 王跃飞,王华瑞,胡昊,等. 基于双层模糊控制的汽车能量管理系统研究[J]. 电子测量与仪器学报,2015,29(12):1790-1797. WANG Yuefei,WANG Huarui,HU Hao,et al. Research of energy management system in vehicle based on double fuzzy control[J]. Journal of Electronic Measurement and Instrumentation,2015,29(12):1790-1797.
[37] 连静,刘爽,李琳辉,等. 插电式混合动力汽车车速预测及整车控制策略[J]. 控制理论与应用,2017,34(5):564-574. LIAN Jing,LIU Shuang,LI Linhui,et al. Plug-in hybrid electric vehicle speed prediction and control strategy[J]. Control Theory and Application,2017,34(5):564-574.
[38] YU Jiadi,ZHU Hongzi,HAN Haofu,et al. SenSpeed:Sensing driving conditions to estimate vehicle speed in urban environments[J]. IEEE Transactions on Mobile Computing,2015,15(1):202-216.