|Table of Contents|

Energy management strategy optimization of extended-range electric vehicle based on dynamic programming(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2018年03期
Page:
148-156
Research Field:
载运工具运用工程
Publishing date:

Info

Title:
Energy management strategy optimization of extended-range electric vehicle based on dynamic programming
Author(s):
XI Li-he;  ZHANG Xin;  GENG Cong;  XUE Qi-cheng
School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
Keywords:
automobile engineering;  extended-range electric vehicle;  energy management strategy;  dynamic programming;  modified algorithm;  fuel economy
PACS:
U469.72
DOI:
-
Abstract:
A modified dynamic programming algorithm was proposed. A future reachable states array was determined based on the constraints. The transfer costs among discretized states were calculated to guarantee the solving accuracy and reduce the off-line calculation burden. An energy management strategy for an extended-range electric vehicle was designed using a modified dynamic programming algorithm. Based on the energy management problem features, a dynamic system model was constructed, a system state equation for solving global optimization problems was determined, the battery state of charge(SOC)was selected as a state variable, and the extender output power was selected as a control variable. During the iterative calculation process, the cost of engine fuel and the battery energy were added in the objective function. Different driving-distance simulation cycles were constructed based on the Beijing arterial road cycle to obtain the optimal distribution result of required motor power. The control rules of extender start-stop corresponding to the battery SOC and required motor power were extracted, the distributed regulation between extender power split ratio and required power was fitted using the least square method, and the energy management strategy based on the optimal rules was established. Simulation result indicates that for the 100 km driving distance simulation cycle, the calculation time of the modified dynamic programming algorithm is 7 239 s, and the calculation efficiency improves by 78.2% compared to the classic dynamic programming algorithm. The optimal rule-based energy-management strategy has a similar control performance with the modified dynamic programming algorithm. The SOC errors of the two control strategies are within 2.5%. Compared to the charging deplete/charging sustain control strategy, the optimal rule-based control strategy improves the economy performance by approximately 5.4% and the fuel economy by approximately 7.9%. 3 tabs, 13 figs, 26 refs.

References:


[1] 王军年,刘 健,初 亮,等.电动汽车驱动电机结构参数优化设计[J].交通运输工程学报,2016,16(6):72-81. WANG Jun-nian, LIU Jian, CHU Liang, et al.Optimal design of driving motor structural parameters for electric vehicle[J]. Journal of Traffic and Transportation Engineering, 2016, 16(6): 72-81.(in Chinese)
[2] 林歆悠,林海波,翟柳清,等.基于PSO-fuzzy的PHEV电量保持模式多目标控制策略[J].中国公路学报,2016,29(10):132-139. LIN Xin-you, LIN Hai-bo, ZHAI Liu-qing, et al. PSO-fuzzy multi-objective control strategy based on PHEV charge-sustaining mode[J]. China Journal of Highway and Transport, 2016, 29(10): 132-139.(in Chinese)
[3] 李宪民.混联式电动汽车动力系统的建模和性能仿真[J].长安大学学报:自然科学版,2014,34(5):161-168. LI Xian-min. Powertrain system modeling and performance simulation about parallel-series hybrid electric vehicle[J].Journal of Chang’an University: Natural Science Edition, 2014, 34(5): 161-168.(in Chinese)
[4] 林歆悠,孙冬野,邓 涛.基于极小值原理的混联混合动力客车能量管理策略优化[J].汽车工程,2012,34(10):865-870. LIN Xin-you, SUN Dong-ye, DENG Tao. Energy management strategy optimization for a series-parallel hybrid electric bus based on Pontryagin’s minimum principle[J]. Automotive Engineering, 2012, 34(10): 865-870.(in Chinese)
[5] 杜玖玉,王贺武,黄海燕.基于规则的混联式混合动力系统控制策略[J].农业工程学报,2012,28(增1):152-157. DU Jiu-yu, WANG He-wu, HUANG Hai-yan. Rule-based control strategy application on power-split hybrid powertrain[J]. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(S1): 152-157.(in Chinese)
[6] 梁俊毅,张建龙,马雪瑞,等.基于多混沌算子遗传算法的混合动力汽车控制策略优化[J].上海交通大学学报,2015,49(4):442-449,456. LIANG Jun-yi, ZHANG Jian-long, MA Xue-rui, et al. Control strategy optimization for hybrid electric vehicle based on multi-chaotic operators genetic algorithm[J]. Journal of Shanghai Jiaotong University, 2015, 49(4): 442-449, 456.(in Chinese)
[7] 秦大同,赵新庆,苏 岭,等.插电式混合动力汽车变参数能量管理策略[J].中国公路学报,2015,28(2):112-118. QIN Da-tong, ZHAO Xin-qing, SU Ling, et al. Variable parameter energy management strategy for plug-in hybrid electric vehicle[J]. China Journal of Highway and Transport, 2015, 28(2): 112-118.(in Chinese)
[8] 胡明寅,杨福源,欧阳明高,等.增程式电动车分布式控制系统的研究[J].汽车工程,2012,34(3):197-202. HU Ming-yin, YANG Fu-yuan, OUYANG Ming-gao, et al. A research on the distributed control system for extended-range electric vehicle[J]. Automotive Engineering, 2012, 34(3): 197-202.(in Chinese)
[9] 牛继高,司璐璐,周 苏,等.增程式电动汽车能量控制策略的仿真分析[J].上海交通大学学报,2014,48(1):140-145. NIU Ji-gao, SI Lu-lu, ZHOU Su, et al. Simulation analysis of energy control strategy for an extended-range electric vehicle[J]. Journal of Shanghai Jiaotong University, 2014, 48(1): 140-145.(in Chinese)
[10] 邹 渊,侯仕杰,韩尔樑,等.基于动态规划的混合动力商用车能量管理策略优化[J].汽车工程,2012,34(8):663-668. ZOU Yuan, HOU Shi-jie, HAN Er-liang, et al. Dynamic programming-based energy management strategy optimization for hybrid electric commercial vehicle[J]. Automotive Engineering, 2012, 34(8): 663-668.(in Chinese)
[11] SUN Dong-ye, LIN Xin-you, QIN Da-tong, etx al. Power-balancing instantaneous optimization energy management for a novel series-parallel hybrid electric bus[J]. Chinese Journal of Mechanical Engineering, 2012, 25(6): 1161-1170.
[12] CHEN Bo-chiuan, WU Yuh-yih, TSAI Hsien-chi. Design and analysis of power management strategy for range extended electric vehicle using dynamic programming[J]. Applied Energy, 2014, 113: 1764-1774.
[13] KO Y, LEE J, LEE H. A supervisory control algorithm for a series hybrid vehicle with multiple energy sources[J]. IEEE Transactions on Vehicular Technology, 2015, 64(11): 4942-4953.
[14] ZHANG Shuo, XIONG Rui. Adaptive energy management of a plug-in hybrid electric vehicle based on driving pattern recognition and dynamic programming[J]. Applied Energy, 2015, 155: 68-78.
[15] CHEN Zheng, MI Chunting-chris, XU Jun, et al. Energy management for a power-split plug-in hybrid electric vehicle based on dynamic programming and neural networks[J]. IEEE Transactions on Vehicular Technology, 2014, 63(4):1567-1580.
[16] LI Wei-min, XU Guo-qing, XU Yang-sheng.Online learning control for hybrid electric vehicle[J]. Chinese Journal of Mechanical Engineering, 2012, 25(1): 98-106.
[17] 邹 渊,陈 锐,侯仕杰,等.基于随机动态规划的混合动力履带车辆能量管理策略[J].机械工程学报,2012,48(14):91-96. ZOU Yuan, CHEN Rui, HOU Shi-jie, et al. Energy management strategy for hybrid electric tracked vehicle based on stochastic dynamic programming[J]. Journal of Mechanical Engineering, 2012, 48(14): 91-96.(in Chinese)
[18] YANG Ya-lian, HU Xiao-song, PEI Huan-xin, et al. Comparison of power-split and parallel hybrid powertrain architectures with a single electric machine: dynamic programming approach[J]. Applied Energy, 2016, 168: 683-690.
[19] LIN Chan-chiao, PENG Huei, GRIZZLE J W, et al. Power management strategy for a parallel hybrid electric truck[J]. IEEE Transactions on Control Systems Technology, 2003, 11(6): 839-849.
[20] WU Bin, LIN Chan-chiao, FILIPI Z, et al.Optimal power management for a hydraulic hybrid delivery truck[J]. Vehicle System Dynamics, 2004, 42(1/2): 23-40.
[21] WANG Xi-ming, HE Hong-wen, SUN Feng-chun, et al. Application study on the dynamic programming algorithm for energy management of plug-in hybrid electric vehicles[J]. Energies, 2015, 8(4): 3225-3244.
[22] 钱立军,邱利宏,辛付龙,等.插电式四驱混合动力汽车能量管理控制策略及其优化[J].农业工程学报,2015,31(13):68-76. QIAN Li-jun, QIU Li-hong, XIN Fu-long, et al. Energy management control strategy and optimization for plug-in 4WD hybrid electric vehicle[J]. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31(13): 68-76.(in Chinese)
[23] PU Jin-huan, YIN Cheng-liang, ZHANG Jian-wu. Energy management strategy for parallel hybrid electric vehicles[J]. Chinese Journal of Mechanical Engineering, 2005, 18(2):215-219.
[24] 王 磊.一种混联式混合动力客车能量管理及模式切换协调控制研究[D].上海:上海交通大学,2013. WANG Lei. Research on energy management strategy and mode transition control for a series-parallel hybrid electric bus[D]. Shanghai: Shanghai Jiaotong University, 2013.(in Chinese)
[25] PATIL R M, FILIPI Z, FATHY H K. Comparison of supervisory control strategies for series plug-in hybrid electric vehicle powertrains through dynamic programming[J]. IEEE Transactions on Control Systems Technology, 2014, 22(2):502-509.
[26] 申彩英.串联混合动力汽车能量优化管理策略研究[D].天津:天津大学,2010. SHEN Cai-ying. Study on energy optimal management for series hybrid electric vehicles[D]. Tianjin: Tianjin University, 2010.(in Chinese)

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Last Update: 2018-07-14