基于低通滤波的大功率型氢燃料电池重型货车 自适应能量管理策略

doi:10.19562/j.chinasae.qcgc.2021.11.015

Abstract

Abstract:

In view of the short service life of hydrogen fuel cell caused by frequent change of load， taking a heavy truck equipped with high power hydrogen fuel cell as the object of study， an adaptive energy management strategy based on low-pass filter is proposed according to the characteristics of its hybrid power system components and the frequency domain characteristics of vehicle desired power under typical working conditions. The strategy， together with adaptive low-pass filter and logic rules， fulfill the rational allocation of whole vehicle energy， and for giving full play to the role of adaptive low-pass filter， on which a multi-objective optimization is conducted by using Pareto genetic algorithm. A simulation on the model for a heavy truck with high power hydrogen fuel cell built with Matlab/Simulink is carried out and its results show that compared with the traditional power following energy management strategy， the energy management strategy proposed can effectively reduce the output power fluctuation of hydrogen fuel cell system on the premise of ensuring the power performance and fuel economy of heavy truck with high-power hydrogen fuel cell， and an optimization can further reduce the output power fluctuation of fuel cell system by 9.28%， conducive to the enhancement of the durability of hydrogen fuel cell.

Key words: hydrogen fuel cell, heavy?duty truck, energy management, low pass filtering, adaptive control

Ruiliang Zhang,Zhun Chen,Senhai Liu,Zhengwu Fan. Adaptive Energy Management Strategy for High Power Hydrogen Fuel Cell Heavy-duty Truck Based on Low Pass Filter[J].Automotive Engineering, 2021, 43(11): 1693-1701.

Figures/Tables 23

References 13

1	孙志英，刘伟峰，王其武，等. 燃料电池汽车的现状与发展前景［J］. 信息记录材料， 2013， 14（6）： 53-56.
	SUN Z Y， LIU W F， WANG Q W， et al. The present situation and development prospect of fuel cell vehicles［J］. Information Recording Materials， 2013， 14（6）： 53-56.
2	刘世闯，孙桓五，王瑞鑫，等. 大功率型氢燃料电池重卡动力系统匹配设计［J］. 汽车工程， 2021， 43（2）： 196-203.
	LIU S C， SUN H W， WANG R X， et al. Matching design of power system for high power hydrogen fuel cell heavy⁃duty truck［J］. Automotive Engineering， 2021， 43（2）： 196-203.
3	YUN H， LIU S， ZHAO Y， et al. Energy management for fuel cell hybrid vehicles based on a stiffness coefficient model［J］. International Journal of Hydrogen Energy， 2015， 40（1）： 633-641.
4	张梦，杨玉新，罗羽，等. 模糊逻辑应用的燃料电池汽车能量管理策略［J］. 电气自动化， 2020， 42（1）： 50-53.
	ZHANG M， YANG Y X， LUO Y， et al. Fuel cell vehicle energy management strategy based on fuzzy logic［J］. Electrical Automation， 2020， 42（1）： 50-53.
5	徐梁飞，卢兰光，李建秋，等. 燃料电池混合动力系统建模及能量管理算法仿真［J］. 机械工程学报， 2009（1）： 147-153，159.
	XU L F， LU G L， LI J Q， et al. Modeling and simulation of a hybrid fuel cell system and energy management strategy［J］. Journal of Mechanical Engineering， 2009（1）： 147-153，159.
6	周圣哲，朱磊，齐元豪，等. 燃料电池汽车运用有限状态机优化能量管理系统的研究［J］. 电器与能效管理技术， 2018（19）： 31-36.
	ZHOU S Z， ZHU L， QI Y H， et al. Study on the energy management system for fuel cell vehicles using finite state machine［J］. Electrical & Energy Management Technology， 2018（19）： 31-36.
7	赵治国，张赛. 燃料电池轿车能量源混合度仿真优化［J］. 汽车工程， 2014， 36（2）： 168-173.
	ZHAO Z G， ZHANG S. Simulation optimization on the hybrid degree of energy sources for fuel cell car［J］. Automotive Engineering， 2014， 36（2）： 168-173.
8	王骞，李顶根，苗华春. 基于模糊逻辑控制的燃料电池汽车能量管理控制策略研究［J］. 汽车工程， 2019， 41（12）： 1347-1355.
	WANG Q， LI D G， MIAO H C. Research on energy management strategy of fuel cell vehicle based on fuzzy logic control［J］. Automotive Engineering， 2019， 41（12）： 1347-1355.
9	李桢辉. 燃料电池混合动力汽车能量管理策略设计与优化［D］. 洛阳：河南科技大学， 2019.
	LI X H. Design and optimization of energy management strategy for fuel cell hybrid electric vehicle［D］. Luoyang： Henan University of Science And Technology， 2019.
10	ZHENG C， CHA S W. Real-time application of Pontryagin's minimum principle to fuel cell hybrid buses based on driving characteristics of buses［J］. International Journal of Precision Engineering and Manufacturing-Green Technology， 2017， 4（2）： 199-209.
11	姚颖方，刘建国，邹志刚. 燃料电池膜电极衰减机制及其抗老化策略［J］. 电化学， 2018， 24（6）： 664-676.
	YAO Y F， LIU J G， ZOU Z G. Degradation mechanism and anti-aging strategies of membrane electrode assembly of fuel cells［J］. Journal of Electrochemistry，2018，24（6）： 664-676.
12	杨勇，张洪飞，罗马吉. 基于PLC的燃料电池控制系统研究［J］. 公路与汽运， 2011（3）： 1-4.
	YANG Y， ZHANG H F， LUO M J. Research on fuel cell control system based on PLC［J］. Highways & Autotive Applocations， 2011（3）： 1-4.
13	伍沛亮，李沫林. 动力磷酸铁锂电池组充电技术研究［J］. 科技经济导刊， 2017（3）： 106.
	WU P L， LI M L. Research on charging technology of power LiFePO4 battery stack［J］. Technology and Economic Guide， 2017（3）： 106.

[1]	LI Huan, HUANG Ying, ZHANG Fu-Jun, ZHAO Yu, GE Yan-Wu. [J]. , 2016, 38(12): 1420 -1426 .
[2]	HAO Han, WANG Si-南, LI Xiao, LIU Zong-Wei, ZHAO Fu-Quan. [J]. , 2017, 39(1): 1 -8 .
[3]	XU Cheng-Shan, JIANG Fa-Chao, SONG Sen-Nan, TIAN Guang-Yu. [J]. , 2017, 39(1): 9 -14 .
[4]	JIANG Ting, DAI Bing. [J]. , 2016, 38(12): 1459 -1466 .
[5]	ZHANG Yi-Bing, 吕Jian-Jun , YUAN Guang-Hui. [J]. , 2016, 38(12): 1467 -1470 .
[6]	ZHANG Lei, ZHANG Jin-Qiu, LUO Tao, BI Zhan-Dong, YAO Jun. [J]. , 2016, 38(12): 1494 -1499 .
[7]	CUI An, LI Bin, WANG Xue-Liang, ZHANG Shi-Zhan. [J]. , 2016, 38(12): 1521 -1525 .
[8]	CHU Liang, ZHAO Di, LI Wen-Hui. [J]. , 2017, 39(1): 61 -65 .
[9]	FENG Chong, ZHANG Dong-Hao, LUO Yu-Gong, LI Ke-Qiang. [J]. , 2017, 39(1): 66 -72 .
[10]	HAN Xiao-Mei, LIN Xue-Dong, LI De-Gang. [J]. , 2017, 39(1): 23 -27 .

类别	主要参数	数值
整车	满载质量/kg	18 000
	迎风面积A/m²	9.45
	空气阻力系数C_d	0.65
	滚动阻力系数f	0.018
	车轮半径r/mm	571.5
	传动系机械效率η_t	0.94
驱动电机	峰值功率/kW	250
	最大转矩/（N·m）	1 600
	最大转速/（r·min^-1）	3 500
氢燃料电池系统	最大输出功率/kW	95
动力电池	电池总能量/（kW·h）	128
动力电池	电池容量/（A·h）	228

f_c		P_re
f_c		VL	L	M	H	VH
SOC	VL	H	H	H	VH	VH
	L	M	M	H	H	VH
	M	L	L	M	H	H
	H	VL	L	L	M	H
	VH	VL	VL	L	M	H

参数	功率跟随	ALPF
百公里氢耗/（kg·（100 km）^-1）	8.664 5	8.652 0
百公里等效氢耗/（kg·（100 km）^-1）	12.202 0	12.209 3

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[6]	Hang Li,Zunyan Hu,Jiayi Hu,Jiachen Dong,Jianqiu Li,Liangfei Xu,Ouyang Minggao,Yu Bu,Lijun Wang,Zhidong Qin. Design, Analysis and Validation of Novel Distributed Drive Liquid Hydrogen Fuel Cell Heavy Commercial Vehicles [J]. Automotive Engineering, 2022, 44(8): 1183-1198.
[7]	Xiaodong Wei,Bo Liu,Jianghao Leng,Xingyu Zhou,Chao Sun,Fengchun Sun. Research on Eco-driving of Fuel Cell Vehicles via Convex Optimization [J]. Automotive Engineering, 2022, 44(6): 851-858.
[8]	Yong Chen,Changyin Wei,Xiaoyu Li,Yanlin Li,Caixia Liu,Xiaozhe Lin. Research on Fuzzy Energy Management Strategy for Extended-Range Electric Vehicles with Driving Condition Identification [J]. Automotive Engineering, 2022, 44(4): 514-524.
[9]	Ximing Cheng,Wei Hu,Jun Zhai,Ronghua Luo,Pan Zhang,Ye Xu. Study on the Efficiency of Low-voltage Electric System in Battery Electric Vehicles [J]. Automotive Engineering, 2022, 44(4): 601-608.
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Adaptive Energy Management Strategy for High Power Hydrogen Fuel Cell Heavy-duty Truck Based on Low Pass Filter

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