Fuzzy energy management strategies based on the ISSA for multiple power sources in fuel cells

doi:10.3969/j.issn.1674-8484.2023.04.012

Abstract

Abstract:

A Fuzzy Logic Control (FLC) method was proposed for Energy Management Strategies (EMS) to enhance the fuel efficiency of the Fuel Cell (FC) Hybrid Electric Vehicle (HEV). With a supercapacitor as an auxiliary energy source to optimize the hydrogen consumption, the power required under working conditions, the State of Charge (SOC) of the supercapacitors, and the fuel cell’s working efficiency were incorporated as input variables into the fuzzy controller to improve the fuzzy rules, considering the two states of automobile drive and braking. The Sparrow Search Algorithm (SSA) was employed to optimize the membership functions of the fuzzy controller. The circle mapping technique was utilized for initializing the sparrow population, with a random walk strategy to perturb the global optimal solution. Advisor software and the Matlab/Simulink environment were employed for modeling and conducting joint simulations. The results show that the energy management strategy reduces 29.38% and 29.88% of equivalent hydrogen consumption, specifically under the Urban Dynamometer Driving Schedule (UDDS) and the HighWay Fuel Economy Test (HWFET) operational scenarios, with decreasing the occurrence of load changes during the fuel cell’s operation, and consequently enhancing its longevity.

Key words: hybrid electric vehicle (HEV), fuel cell (FC), energy management strategies (EMS), fuzzy logic control (FLC), improved sparrow search algorithm (ISSA)

CLC Number:

U461.8

LUO Chuang, XU Liang. Fuzzy energy management strategies based on the ISSA for multiple power sources in fuel cells[J]. Journal of Automotive Safety and Energy, 2023, 14(4): 496-504.

Figures/Tables 15

References 18

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P_out	SOC_cap	P_req
P_out	SOC_cap	NB	NS	Z	PS	PB
η = NB	NB	NB	NB	NM	NM	NM
	NS	NB	NB	NM	NM	NS
	Z	NB	NB	NM	NM	NS
	PS	NB	NB	NM	NM	NS
	PB	NB	NM	NM	NM	NS
η = Z	NB	NS	NS	Z	Z	PS
	NS	NS	Z	Z	Z	PS
	Z	NS	Z	Z	PS	PS
	PS	NS	Z	Z	PS	PS
	PB	NS	Z	Z	PS	PS
η = PB	NB	PS	PM	PM	PB	PB
	NS	PS	PM	PM	PB	PB
	Z	PS	PM	PM	PB	PB
	PS	PM	PM	PM	PB	PB
	PB	PM	PM	PM	PB	PB

P_out	SOC_cap	P_req
P_out	SOC_cap	NB	NS	Z	PS	PB
η = NB	NB	NB	NB	NM	NM	NM
	NS	NB	NB	NM	NM	NS
	Z	NB	NB	NM	NM	NS
	PS	NB	NB	NM	NM	NS
	PB	NB	NM	NM	NM	NS
η = Z	NB	NS	NS	Z	Z	PS
	NS	NS	Z	Z	Z	PS
	Z	NS	Z	Z	PS	PS
	PS	NS	Z	Z	PS	PS
	PB	NS	Z	Z	PS	PS
η = PB	NB	PS	PM	PM	PB	PB
	NS	PS	PM	PM	PB	PB
	Z	PS	PM	PM	PB	PB
	PS	PM	PM	PM	PB	PB
	PB	PM	PM	PM	PB	PB

车辆	整备质量	900 kg
	迎风面积	2.88 m2
	滚动半径	252 mm
燃料电池堆	单体电压	0.6~0.7 V
	单体功率	0.31 kW
	数量	220个
超级电容	单体电压	2.7 V
	单体容量	9.5 kF
	数量	22个

车辆	整备质量	900 kg
	迎风面积	2.88 m2
	滚动半径	252 mm
燃料电池堆	单体电压	0.6~0.7 V
	单体功率	0.31 kW
	数量	220个
超级电容	单体电压	2.7 V
	单体容量	9.5 kF
	数量	22个

工况	里程 / km	m(H₂) / g		优化量/％
工况	里程 / km	SSA-Fuzzy	ISSA-Fuzzy	优化量/％
UDDS	12.07	61.51	43.44	29.38
HWFET	16.45	55.62	39.10	29.88