车用燃料电池-蓄电池复合能源系统能量管理策略仿真研究

郑志强, 林维康, 王海龙, 黄贵, 温翔龙, 谢经广

太阳能学报 ›› 2025, Vol. 46 ›› Issue (12) : 108-113.

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (12) : 108-113. DOI: 10.19912/j.0254-0096.tynxb.2024-1388

车用燃料电池-蓄电池复合能源系统能量管理策略仿真研究

  • 郑志强1, 林维康2,3, 王海龙3, 黄贵3, 温翔龙1, 谢经广3
作者信息 +

SIMULATION RESEARCH ON ENERGY MANAGEMENT STRATEGY OF VEHICLE FUEL CELL-BATTERY HYBRID ENERGY SYSTEM

  • Zheng Zhiqiang1, Lin Weikang2,3, Wang Hailong3, Huang Gui3, Wen Xianglong1, Xie Jingguang3
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摘要

针对一款车用燃料电池-蓄电池复合能源系统,根据燃料电池功率、效率及氢气消耗量曲线,并考虑燃料电池工作点效率,兼顾蓄电池荷电状态(SOC)最佳工作区域,基于Simulink仿真平台建立车用燃料电池-蓄电池复合能源系统仿真模型,提出一种新型能量管理控制策略。对该车用燃料电池-蓄电池复合能源系统进行仿真,结果表明该能量管理策略可有效对燃料电池和蓄电池进行能量分配,燃料电池高效率的功率输出,蓄电池SOC工作在合理区域。

Abstract

On the basis of the power, efficiency and hydrogen consumption curves of fuel cell, and its operating point efficiency, combining the optimal working area of battery SOC, focuses on a hybrid vehicle energy system powered by fuel cell and battery, builds up a model based on the Simulink platform, and proposes a new energy management and control strategy. The simulation result shows that the proposed strategy can effectively distribute the energy of the fuel cell and battery, and ensure the high-efficiency power output of fuel cell and the optimal working area of battery SOC.

关键词

燃料电池 / Simulink / 仿真模型 / 能量管理 / 蓄电池 / 复合能源

Key words

fuel cells / Simulink / simulation model / energy management / battery / composite energy

引用本文

导出引用
郑志强, 林维康, 王海龙, 黄贵, 温翔龙, 谢经广. 车用燃料电池-蓄电池复合能源系统能量管理策略仿真研究[J]. 太阳能学报. 2025, 46(12): 108-113 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1388
Zheng Zhiqiang, Lin Weikang, Wang Hailong, Huang Gui, Wen Xianglong, Xie Jingguang. SIMULATION RESEARCH ON ENERGY MANAGEMENT STRATEGY OF VEHICLE FUEL CELL-BATTERY HYBRID ENERGY SYSTEM[J]. Acta Energiae Solaris Sinica. 2025, 46(12): 108-113 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1388
中图分类号: TM911.4   

参考文献

[1] 胡兵, 王小娟, 徐立军, 等. 基于KMQ-PCA-BP的燃料电池堆输出电压预测方法[J]. 太阳能学报,2022,43(3):12-19.
HU B, WANG X J, XU L J, et al.Output voltage prediction method of fuel cell stack based on KMO-PCA-BP[J]. Acta energiae solaris sinica, 2022, 43(3): 12-19.
[2] 江大发, 黄海, 李梅, 等. 燃料电池混合动力机车参数匹配与等效氢耗优化能量管理方法[J]. 太阳能学报, 2023, 8(44): 68-76.
JIANG D, HUANG H, LI M, et al.Parameter matching and energy management method of equivalent hydrogen consumption optimization for fuel cell hybrid locomotive[J]. Acta energiae solaris sinica, 2023, 8(44): 68-76.
[3] 夏发银. 车用燃料电池及其混合电源系统的研究[D]. 芜湖: 安徽工程大学, 2016.
XIA F Y.Research on vehicle fuel cell and its hybrid power system[D]. Wuhu: Anhui Polytechnic University, 2016.
[4] 谢星, 周苏, 王廷宏, 等. 基于Cruise/Simulink的车用燃料电池/蓄电池混合动力的能量管理策略仿真[J]. 汽车工程, 2010, 32(5): 373-378.
XIE X, ZHOU S, WANG T H, et al.A simulation on energy management strategy for the power system of a fuel cell/battery HEV based on Cruise/Simulink[J]. Automotive engineering, 2010, 32(5): 373-378.
[5] 纪常伟, 李响, 梁晨, 等. 基于LMS AMESim的车用燃料电池-锂离子动力电池混合动力系统能量管理仿真[J]. 北京工业大学学报, 2020, 46(1): 58-67.
JI C W, LI X, LIANG C, et al.Energy management simulation of vehicle fuel cell-lithium-ion power battery hybrid power system based on LMS AMESim[J]. Journal of Beijing University of Technology, 2020, 46(1): 58-67.
[6] 张宇. 基于模糊规则学习的燃料电池混合动力汽车能量管理策略[D]. 长春: 吉林大学, 2021.
ZHANG Y.Energy management strategy of fuel cell hybrid electric vehicle based on fuzzy rule learning[D]. Changchun: Jilin University, 2021.
[7] 蒲斌. 基于优化算法的ISG速度耦合混合动力汽车能量管理策略研究[D]. 重庆: 重庆大学, 2013.
PU B.Research on energy management strategy of ISG speed coupled hybrid electric vehicle based on optimization algorithm[D]. Chongqing: Chongqing University, 2013.
[8] 张冰战. 插电式混合动力电动汽车能量管理策略研究[D]. 合肥: 合肥工业大学, 2011.
ZHANG B Z.A study on energy management control strategy for plug-in hybrid electric vehicle[D]. Hefei: Hefei University of Technology, 2011.
[9] FAN C L, FU Q, LONG G Z, et al.Hybrid artificial bee colony algorithm with variable neighborhood search and memory mechanism[J]. Journal of systems engineering and electronics, 2018, 29(2): 405-414.
[10] 盘朝奉, 张良, 陈龙, 等. 不同放电倍率下锂电池发热分析与试验[J]. 江苏大学学报(自然科学版), 2017, 38(2): 133-138.
PAN C F, ZHANG L, CHEN L, et al.Heating analysis and experiment of lithium battery for different discharge rates[J]. Journal of Jiangsu University(natural science edition), 2017, 38(2): 133-138.
[11] 王克文, 张晓平, 周厚庆, 等. 基于混合动力的氢燃料电池轨道车辆研究概述[J]. 太阳能学报, 2024, 45(9): 50-59.
WANG K W, ZHANG X P, ZHOU H Q, et al.Overview of research on hydrogen fuel cell rail vehicles based on hybrid power[J]. Acta energiae solaris sinica, 2024, 45(9): 50-59.
[12] 纪人恒. 全功率燃料电池汽车动力系统优化设计与能量管理[D]. 长春: 吉林大学, 2020.
JI R H.Optimal design and energy management of power system of full-power fuel cell vehicles[D]. Changchun: Jilin University, 2020.
[13] 聂彦鑫, 黄东越, 郑志强, 等. 基于燃料电池电动汽车的能量管理控制策略研究[J]. 机电一体化, 2019, 25(6): 28-33.
NIE Y X, HUANG D Y, ZHENG Z Q, et al.Research on energy management control strategy based on fuel cell electric vehicle[J]. Mechatronics, 2019, 25(6): 28-33.
[14] 刘汉武. 基于出行特征的增程式电动汽车智能能量管理策略研究[D]. 长春: 吉林大学, 2022.
LIU H W.Research on intelligent energy management strategy for range-extended electric vehicle based on travel characteristics[D]. Changchun: Jilin University, 2022.
[15] 侯献军, 苏达, 刘志恩, 等. 轻型商用车不同循环工况下排放性能与油耗分析[J]. 内燃机工程, 2022, 43(1): 29-38, 47.
HOU X J, SU D, LIU Z E, et al.Analyses of emission performance and fuel consumption of light commercial vehicle under different driving cycles[J]. Chinese internal combustion engine engineering, 2022, 43(1): 29-38, 47.

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