Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (9): 2130-2138.doi: 10.13229/j.cnki.jdxbgxb20210773

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Energy management strategy of fuel cell electric vehicles

Yan SUN1(),Chang-gao XIA1(),Bi-feng YIN1,Jiang-yi HAN1,Hai-yu GAO2,Jing LIU1,3   

  1. 1.School of Automotive and Traffic Engineering，Jiangsu University，Zhenjiang 212013，China
    2.Fuel Cell Vehicle Technology Research Center，D. R. Power Technology Co. ，Ltd. ，Jiaxing 314001，China
    3.School of Automotive Engineering，Nanjing Vocational Institute of Transport Technology，Nanjing 211188，China
  • Received:2021-08-10 Online:2022-09-01 Published:2022-09-13
  • Contact: Chang-gao XIA E-mail:1360118360@qq.com;xiacg@ujs.edu.cn

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Abstract:

In order to solve the energy management problems of an electric vehicle based on fuel cell and ultracapacitor. Firstly， the models of fuel cell and ultracapacitor are established， including the performance degradation model of fuel cell. Secondly， an optimal energy management control strategy based on power following strategy is proposed. The required power is decomposed into the target power of fuel cell and ultracapacitor by partial differentiation of quadratic utility function and combined with Karush-Kuhn-Tucker conditions. Finally， the multi-objective artificial bee colony algorithm and Pareto solution set iterative algorithm are used to solve the internal optimal balance coefficient， and the vehicle economy and fuel cell durability are both improved. The simulation results show that compared with the traditional power following strategy， the proposed optimal-power following strategy can reduce the equivalent hydrogen consumption by 2%， reduce the fuel cell degradation by 92.66%， the vehicle can travel 88.52 km and only 1.2 kg hydrogen is consumed.

Key words: fuel cell, energy management, Karush-Kuhn-Tucker conditions, multi-objective artificial bee colony algorithm

CLC Number: 

  • U469.72

Fig.1

Fuel cell system efficiency and hydrogen consumption rate"

Fig.2

Fuel cell test bench"

Fig.3

Vehicle power system structure"

Fig.4

Fuel cell electric vehicle system simulation model"

Fig.5

Required power and speed"

Fig.6

Pareto curve"

Fig.7

Comparison of fuel cell output power curves"

Fig.8

Comparison of fuel cell efficiency curves"

Fig.9

Comparison of the ultracapacitor utput power curves"

Fig.10

Comparison of ultracapacitor SOC curves"

Table 1

Comparison results of the two strategies"

控制策略等效氢耗/g燃料电池衰退/（10-4%）
PF342.28727.15
OP_PF335.4151.993
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