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
1 张风奇,胡晓松,许康辉,等. 混合动力汽车模型预测能量管理研究现状与展望[J]. 机械工程学报, 2019, 55(10): 86-108.
Zhang Feng-qi, Hu Xiao-song, Xu Kang-hui, et al. Research status and prospects of hybrid electric vehicle model predictive energy management[J]. Chinese Journal of Mechanical Engineering, 2019, 55(10): 86-108.
2 王哲,谢怡,孙维,等. 燃料电池客车动力系统建模与能量管理策略研究[J]. 同济大学学报: 自然科学版, 2019, 47(1): 97-103, 123.
Wang Zhe, Xie Yi, Sun Wei, et al. Research on modeling of fuel cell bus power system and energy management strategy[J]. Journal of Tongji University (Natural Science Edition), 2019, 47(1): 97-103, 123.
3 赵治国,沈沛鸿,郏怡颖,等. 燃料电池轿车模型预测实时优化控制[J]. 同济大学学报: 自然科学版, 2018, 46(5): 648-657.
Zhao Zhi-guo, Shen Pei-hong, Jia Yi-ying, et al. Model predictive real-time optimization control of fuel cell car[J]. Journal of Tongji University (Natural Science Edition), 2018, 46(5): 648-657.
4 应天杏. 基于功率需求预测的燃料电池汽车能量管理自适应控制策略研究[D]. 上海:上海交通大学机械与动力工程学院, 2018.
Ying Tian-xing. Research on adaptive control strategy of fuel cell vehicle energy management based on power demand prediction[D]. Shanghai:School of Mechanical and Power Engineering,Shanghai Jiaotong University, 2018.
5 Liu Yong-gang, Li Jie, Chen Zheng, et al. Research on a multi-objective hierarchical prediction energy management strategy for range extended fuel cell vehicles[J]. Journal of Power Sources, 2019, 429: 55-66.
6 林歆悠,李雪凡,林海波. 考虑燃料电池衰退的FCHEV反馈优化控制策略[J]. 中国公路学报, 2019, 32(5): 153-161.
Lin Xin-you, Li Xue-fan, Lin Hai-bo. FCHEV feedback optimization control strategy considering fuel cell degradation[J]. China Journal of Highway and Transport, 2019, 32(5): 153-161.
7 Zhou Wei, Yang Lin, Cai Yi-shan, et al. Dynamic programming for new energy vehicles based on their work modes part II: fuel cell electric vehicles[J]. Journal of Power Sources, 2018, 407: 92-104.
8 Xu Liang-fei, Ouyang Ming-gao, Li Jian-qiu, et al. Application of Pontryagin's minimal principle to the energy management strategy of plugin fuel cell electric vehicles [J]. Journal of Hydrogen Energy, 2013, 38(24): 10104-10115.
9 Wu Xiao-hua, Hu Xiao-song, Yin Xiao-feng, et al. Convex programming energy management and components sizing of a plug-in fuel cell urban logistics vehicle[J]. Journal of Power Sources, 2019, 423: 358-366.
10 王哲,谢怡,臧鹏飞,等. 基于极小值原理的燃料电池客车能量管理策略[J]. 吉林大学学报:工学版, 2020, 50(1): 36-43.
Wang Zhe, Xie Yi, Zang Peng-fei, et al. Energy management strategy for fuel cell buses based on the principle of minimum value[J]. Journal of Jilin University (Engineering and Technology Edition), 2020, 50(1): 36-43.
11 Wang Yong-qiang, Advani Suresh G, Prasad Ajay K. A comparison of rule-based and model predictive controller-based power management strategies for fuel cell/battery hybrid vehicles considering degradation[J]. International Journal of Hydrogen Energy, 2020, 45(58): 33948-33956.
12 武小花,邹佩佩,傅家豪,等. 燃料电池电动汽车动力系统能量管理策略研究进展[J]. 西华大学学报: 自然科学版, 2020, 39(4): 89-96.
Wu Xiao-hua, Zou Pei-pei, Fu Jia-hao, et al. Research progress on energy management strategies of fuel cell electric vehicle power system[J]. Journal of Xihua University (Natural Science Edition), 2020, 39(4): 89-96.
13 吕沁阳,滕腾,张宝迪,等. 增程式燃料电池车经济性与耐久性优化控制策略[J]. 哈尔滨工业大学学报, 2021, 53(7): 126-133.
Lv Qin-yang, Teng Teng, Zhang Bao-di, et al. Optimal control strategy for economy and durability of extended-range fuel cell vehicles[J]. Journal of Harbin Institute of Technology, 2021, 53(7): 126-133.
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