Research on adaptive energy management strategy of hybrid energy storage system in electric vehicles

doi:10.19799/j.cnki.2095-4239.2019.0232

Abstract

Abstract:

This study proposes an adaptive energy-management strategy that enhances the driving range and performance of a hybrid energy-storage system. First, the intention and driving style of the driver is established by fuzzy logic. Using this model, the time constant of the low-pass filter is then adjusted online. The filter divides the motor demand power into the average power and the peak power. To evaluate its performance, the proposed energy management strategy is compared with the logic threshold control strategy and fuzzy control strategy on the ADVISOR simulation platform. The proposed adaptive energy-management strategy achieves lower peak discharge current of the battery than the other control strategies and improves the power distribution of hybrid energy-storage systems in electric vehicles. With these improvements, more braking energy is recovered by the ultracapacitor and the driving mileage is extended.

Key words: electric vehicle, hybrid energy storage system, energy management strategy, filter, ultracapacitor

CLC Number:

TP 391.9

ZHANG Qian, WU Xiaolan, BAI Zhifeng, CHENG Jingyi. Research on adaptive energy management strategy of hybrid energy storage system in electric vehicles[J]. Energy Storage Science and Technology, 2020, 9(3): 878-884.

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驾驶员的加速意图		ΔAcc
驾驶员的加速意图		L	M	H
Acc	L	B	B	M
	M	B	M	S
	H	M	S	S

τ			加速意图
τ			B	M	S
pow	T _r	B	S	MS	MS
		M	S	MS	M
		S	MS	M	M
eco	T _r	B	MS	M	M
		M	M	MB	B
		S	MB	B	B

超级电容放电深度的下限值		v<=20	20<v<=50	v>50
驾驶员模式	eco	0.35	0.2	0
驾驶员模式	pow	0.15	0.1	0

参数	数值
整车装备质量/kg	980
整车满载质量/kg	1220
轮胎半径/m	0.275
滚动阻力因数	0.018
迎风面积A/m²	2.17
空气阻力因数	0.3
电机峰值功率/kW	62
电机额定功率/kW	25.8
电容单体容量/F	200
电容单体质量/kg	0.15
电容单体电压/V（最大/最小）	3.8/1.0
电容数目/个	110
电池单体容量/A·h	80
电池单体质量/kg	5
电池单体电压/V（最大/最小）	16/9
电池数目/个	27

策略类型	续驶里程/km	单位工况的能量消耗/kW·h
自适应控制策略	149.0	1.6729
模糊控制策略	147.4	1.6813
逻辑门限控制策略	147.1	1.7082