计及电池功率状态的再生制动优化策略

doi:10.13229/j.cnki.jdxbgxb20210435

Abstract

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

CLC Number:

TM91

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.

Figures/Tables 13

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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

Regenerative braking optimization strategy considering battery state of power

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