计及电池功率状态的再生制动优化策略

doi:10.13229/j.cnki.jdxbgxb20210435

吉林大学学报(工学版) ›› 2022, Vol. 52 ›› Issue (12): 2796-2805.doi: 10.13229/j.cnki.jdxbgxb20210435

计及电池功率状态的再生制动优化策略

刘兴涛^1,²(),林思源¹,武骥^1,²(),何耀³,刘新天³

^1.合肥工业大学车辆工程系，合肥 230009
^2.安徽省智能汽车工程实验室，合肥 230009
^3.合肥工业大学汽车工程技术研究院，合肥 230002

收稿日期:2021-05-17 出版日期:2022-12-01 发布日期:2022-12-08
通讯作者: 武骥 E-mail:xingtao.liu@hfut.edu.cn;wu.ji@hfut.edu.cn
作者简介:刘兴涛（1985-），男，副研究员，博士. 研究方向：锂离子电池建模与状态估计. E-mail： xingtao.liu@hfut.edu.cn
基金资助:
国家自然科学基金项目(61803138);安徽省自然科学基金项目(2008085QF301);安徽省科协2020年青年科技人才托举计划项目(RCTJ202008);安徽高校协同创新项目(GXXT-2019-002)

Regenerative braking optimization strategy considering battery state of power

Xing-tao LIU^1,²(),Si-yuan LIN¹,Ji WU^1,²(),Yao HE³,Xin-tian LIU³

^1.Department of Vehicle Engineering，Hefei University of Technology，Hefei 230009，China
^2.Anhui Intelligent Vehicle Engineering Laboratory，Hefei 230009，China
^3.Automotive Research Institute，Hefei University of Technology，Hefei 230002，China

Received:2021-05-17 Online:2022-12-01 Published:2022-12-08
Contact: Ji WU E-mail:xingtao.liu@hfut.edu.cn;wu.ji@hfut.edu.cn

摘要/Abstract

摘要：

考虑到现有车辆再生制动策略对电池约束不够充分，易造成能量回收效率不高、电池过充等问题，为保护电池以及提高再生制动效率，本文充分考虑了动力电池功率状态，提出了一种优化再生制动策略，并运用动态规划算法求取最优解。仿真结果表明，在固定工况和NEDC工况下，本文策略比基于I曲线的方法在经济性上提高了36.4%和40.31%，比单目标的方法在稳定性上分别提高了48.61%和60.41%。测试实验验证了本文所提策略的实用性。

关键词: 车辆工程, 纯电动汽车, 功率状态, 再生制动, 动态规划

Abstract:

The existing regenerative braking strategy has insufficient constraints on the battery， resulting in low energy recovery efficiency， battery overcharge， and other problems. To protect the battery and improve the regenerative braking efficiency， the state of power of the battery has been fully considered. An optimized regenerative braking strategy has been proposed using the dynamic programming algorithm to obtain the optimal solution. Under fixed working condition and NEDC working condition,Compared with the method based on the I curve， the strategy proposed improves the economy by more than 36% and the stability by more than 48% compared with the single objective method. In addition， test experiments verify the practicability of the proposed strategy.

Key words: automotive engineering, battery electric vehicle, state of power, regenerative braking, dynamic programming

中图分类号:

TM91

刘兴涛,林思源,武骥,何耀,刘新天. 计及电池功率状态的再生制动优化策略[J]. 吉林大学学报(工学版), 2022, 52(12): 2796-2805.

Xing-tao LIU,Si-yuan LIN,Ji WU,Yao HE,Xin-tian LIU. Regenerative braking optimization strategy considering battery state of power[J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(12): 2796-2805.

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参考文献 24

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参数	数值
满载质量/kg	1580
整备质量/kg	1200
轴距/mm	2467
前轮距/mm	1480
后轮距/mm	987
质心高度/mm	500
轮胎半径/mm	287
迎风面积/m²	1.97
空气阻力系数滚动阻力系数	0.284 0.01

参数	数值
额定电压/V	420
额定转速/（r·min^?1）	7500
最大转速/（r·min^?1）	10 000
最大工作电流/A	220
峰值功率/kW	80
峰值转矩/（N·m）	240

策略	最终的SOC/%	回收能量/J	稳定性系数平均数
考虑稳定性	50.199	202 970	0.1091
单目标	50.220	230 857	0.2123
基于I曲线	50.1733	148 796	0.1081

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计及电池功率状态的再生制动优化策略

Regenerative braking optimization strategy considering battery state of power

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