基于改进鸽群优化算法的燃料电池汽车模糊能量管理策略

doi:10.13229/j.cnki.jdxbgxb.20230926

摘要/Abstract

摘要：

以提高辅助能量源动力电池的寿命为目标提出复合模糊能量管理策略，采用改进鸽群优化算法（IPIO）更新模糊隶属度函数，同时确保动力电池长时间工作在适宜区间并降低等效氢耗量。对现有ADVISOR模型进行二次开发建立FCEV混合动力系统的仿真模型，并在NEDC、CLTC-P两种工况下进行仿真实验。结果表明：本文提出的复合模糊能量管理策略在初始SoC较低的情况下充电速度是功率跟随策略的2倍以上，能更快达到适宜的SoC区间，可以延长动力电池寿命；在初始SoC较高的情况下，本文提出的复合模糊能量管理策略等效氢耗量相比改进前在两种工况下分别降低了11.8%和9.09%，显著降低了氢耗量，提高了氢燃料电池汽车的经济性。

关键词: 车辆工程, 氢燃料电池汽车, 能量管理策略, 模糊逻辑, 鸽群优化算法

Abstract:

A composite fuzzy energy management strategy was proposed with the goal of improving the lifespan of auxiliary energy source power batteries. The improved pigeon swarm optimization algorithm （IPIO） was used to update the fuzzy membership function， while ensuring that the power battery operates in a suitable range for a long time and reducing equivalent hydrogen consumption. The existing ADVISOR model was developed to establish a simulation model for the FCEV hybrid power system， and was conducted simulation experiments under two operating conditions： NEDC and CLTC-P. The results show that the charging speed of the IPIO-enhanced energy management strategy is more than twice as fast as the power-following strategy when the initial State of Charge （SoC） is low， enabling a faster transition to the optimal SoC range and prolonging battery lifespan. When the initial SoC is high， the equivalent hydrogen consumption of the IPIO-enhanced composite fuzzy energy management strategy is reduced by 11.8% and 9.09% compared with before under two driving cycles， significantly reducing hydrogen consumption and enhancing the economy of hydrogen fuel cell vehicles.

Key words: vehicle engineering, fuel cell electric vehicles, energy management strategy, fuzzy logic, pigeon-inspired optimization

中图分类号:

U461.8

肖纯,易子淳,周炳寅,张少睿. 基于改进鸽群优化算法的燃料电池汽车模糊能量管理策略[J]. 吉林大学学报(工学版), 2025, 55(6): 1873-1882.

Chun XIAO,Zi-chun YI,Bing-yin ZHOU,Shao-rui ZHANG. Fuzzy energy management strategy of fuel cell electric vehicle based on improved pigeon⁃inspired optimization[J]. Journal of Jilin University(Engineering and Technology Edition), 2025, 55(6): 1873-1882.

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参考文献 12

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P_fc		P_m
P_fc		ZO	PS	S	M	B	PB
SoC	PL	M	M	B	PB	PB	PB
	L	S	S	B	B	B	PB
	SL	S	S	M	M	B	B
	M	PS	PS	S	S	M	B
	SH	OFF	OFF	OFF	PS	S	M
	H	OFF	OFF	OFF	OFF	OFF	OFF

序号	规则
1	If ΔSoC is PS，then α₂ is PB
2	If ΔSoC is S，then α₂ is PB
3	If ΔSoC is M，then α₂ is B
4	If ΔSoC is B，then α₂ is M
5	If ΔSoC is PB，then α₂ is S

名称	整车参数	数值
整车部分	整车质量/kg	1 472
	迎风面积/m²	1.95
	车轮半径/m	0.3
	传动系机械效率η_r	0.96
	空气阻力系数C_D	0.63
燃料电池	峰值功率/kW	45
	单体电压/V	0.7~0.75
	数量	280
	额定工作电压/V	100~200
	工作温度/℃	80
锂电池	电池组峰值功率/kW	35
	单体额定容量/Ah	48
	单体额定电压/V	3.25
	最大充/放电倍率/C	1/2
	串联/并联数	100/1
永磁同步电机	额定功率/kW	75
永磁同步电机	额定转速/（r·min^-1）	2 750

工况	EMS	等效氢耗量/g
工况	EMS	SoC=0.4	SoC=0.7
NEDC	功率跟随	162.784	150.049
	复合模糊	177.504	137.721
	IPIO改进	170.984	121.473
CLTC-P	功率跟随	221.255	183.960
	复合模糊	242.977	191.247
	IPIO改进	226.663	173.871