Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (9): 2077-2084.doi: 10.13229/j.cnki.jdxbgxb20211371

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Fuzzy energy management strategy of fuel cell buses

Xiao-hua WU1,2(),Zhong-wei YU1,2,Zhang-ling ZHU3,Xin-mei GAO1,2   

  1. 1.Vehicle Measurement Control and Safety Key Laboratory of Sichuan Province，Xihua University，Chengdu 610039，China
    2.Provincial Engineering Research Center for New Energy Vehicle Intelligent Control and Simulation Test Technology of Sichuan，Xihua University，Chengdu 610039，China
    3.Anhui Pusibiaozhun Technology Co. ，Ltd. ，Wuhu 241000，China
  • Received:2021-12-15 Online:2022-09-01 Published:2022-09-13

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Abstract:

In order to improve the operating economy of the fuel cell bus, the real vehicle operating conditions were selected, and the simulation solution of the dynamic programming energy management of the fuel cell bus was completed on the basis of the mathematical model of the fuel cell, lithium battery and power system. By transforming the solution results into fuzzy control rules and formulating fuzzy control strategies, an energy management method based on working condition update to construct variable fuzzy rules was proposed. Taking the equivalent hydrogen consumption per 100 kilometers and the change of state of charge （SOC） as indicators， the control effects of the real vehicle energy management strategy and the fuzzy control strategy applied to the real vehicle were compared. Finally， the influence of the initial SOC of the lithium battery of the fuel cell bus on the equivalent hydrogen consumption of 100 kilometers for long-distance driving under different strategies was compared. The results show that the fuzzy control strategy based on the dynamic planning results of the actual vehicle operating conditions reduces the equivalent hydrogen consumption per 100 kilometers by 3.97% compared with the actual vehicle energy management strategy.

Key words: vehicle engineering, fuel cell bus, energy management, dynamic programming, fuzzy control

CLC Number: 

  • U461.8

Fig.1

Fuel cell bus power system structure"

Table 1

Parameters of a fuel cell bus"

参数数值
车轮半径r/m0.479
迎风面积A/m27.13
风阻系数CD0.65
滚动阻力系数f0.0076+0.000056ua
最高车速/（km·h-1）69
锂电池单体额定电压/V3.22
（锂电池最大充/放电倍率）/C1/2
燃料电池额定工作电压/V180
（电机额定/峰值功率）/kW100/200
传动比ig6.14
机械传动效率ηt0.95
旋转质量系数δ1.2
质量（自重+65%载重）m/kg11200+4095
锂电池额定容量C/（A·h）173
锂电池串联/并联数162/1
燃料电池最大功率/kW47
燃料电池额定工作电流/A100
（电机额定/最高转速）/（r·min-1）1274/3000

Fig.2

Fuel cell bus cycle"

Fig.3

Solution optimization process of dynamicprogramming energy management"

Fig.4

Power allocation of dynamic programming"

Fig.5

SOC variation range of real vehicle"

Fig.6

Membership of parameters"

Fig.7

Construction method of variable fuzzy control rules"

Fig.8

MAP of fuzzy control rule"

Fig.9

CD-CS energy management strategy of real vehicle"

Fig.10

Fuzzy control strategy power allocation forreal vehicle cycle"

Fig.11

SOC curve of fuel cell bus"

Table 2

Influence of initial SOC on equivalent hydrogen consumption"

锂电池初始SOC实车控制策略模糊控制策略
锂电池末态SOC等效氢耗/［kg·（100 km）-1］锂电池末态SOC等效氢耗/［kg·（100 km）-1］
0.50.745.310.755.08
0.60.735.040.754.82
0.70.744.850.754.63
0.80.724.580.754.44
0.90.724.340.754.27
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