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中国农机化学报

中国农机化学报 ›› 2025, Vol. 46 ›› Issue (6): 236-241.DOI: 10.13733/j.jcam.issn.2095-5553.2025.06.035

• 车辆与动力工程 • 上一篇    下一篇

燃料电池电动拖拉机能量管理研究

刘静1,2,孙闫2,3,王柯3,夏长高2,尹超3,邹金龙3   

  1. (1. 南京交通职业技术学院汽车工程学院,南京市,211188; 2. 江苏大学汽车与交通工程学院,江苏镇江,212013; 3. 浙江远程商用车研发有限公司重卡产品工程院,杭州市,311228)

  • 出版日期:2025-06-15 发布日期:2025-05-23
  • 基金资助:
    南京交通职业技术学院科研基金项目(JZ2203)

 Research on energy management strategy for fuel cell electric tractor

Liu Jing1, 2, Sun Yan2, 3, Wang Ke3, Xia Changgao2, Yin Chao3, Zou Jinlong3   

  1. (1. School of Automobile Engineering, Nanjing Vocational Institute of Transport Technology, Nanjing, 211188, China; 2. School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, 212013, China; 3. Zhejiang Geely New Energy Commercial Group Co., Ltd., Heavy‑Duty Product Development Institute, Hangzhou, 311228, China)

  • Online:2025-06-15 Published:2025-05-23

摘要:

为解决纯电动拖拉机持续作业时间短的问题,提出一种以燃料电池为主电源,动力电池为辅助电源的混合动力拖拉机。首先,建立燃料电池、动力电池和拖拉机模型。然后,提出融合功率跟随策略和模糊逻辑策略,利用禁忌搜索算法进行优化的能量管理策略。设计功率跟随策略实现燃料电池输出功率以需求功率为基础,以电池SOC值为自变量进行调节;设计模糊逻辑策略约束燃料电池功率变化率,避免燃料电池输出功率的频繁波动。最后,构建考虑能耗和燃料电池耐久性的综合能耗评估函数,利用禁忌搜索算法对模糊控制策略的隶属函数和权重系数进行迭代优化,提高纯电动拖拉机的经济性和燃料电池的耐久性。仿真结果表明,所提出的能量管理策略可以在不同的SOC状态下很好地工作,并减少燃料电池的功率波动,在600 s仿真试验中,与模糊控制和功率跟随策略相比,所提策略可分别降低1.2%、1.5%的等效氢耗,燃料电池寿命衰退分别减少46%、15%。

关键词: 电动拖拉机, 燃料电池, 能量管理, 禁忌搜索, 模糊控制

Abstract:

To address the challenge of limited continuous operation time in pure electric tractors, this study proposed a hybrid electric tractor powered primarily by fuel cells with batteries serving as auxiliary power sources.Fuel cell model, power battery model and tractor model were established. An advanced energy management strategy was developed, integrating a power‑following strategy and fuzzy logic control, and further optimized using the tabu search algorithm. The power‑following strategy ensured that the fuel cell provided output power based on real‑time demand, with the state of charge (SOC) of the battery serving as the independent variable for regulation. Simultaneously, the fuzzy logic strategy was designed to limit rapid changes in the fuel cell's power output, thereby reducing frequent power fluctuations. To enhance both energy efficiency and system durability, a comprehensive energy consumption evaluation function was established, incorporating metrics for energy utilization and fuel cell longevity. The tabu search algorithm was used to iteratively optimize the membership functions and weight coefficients of the fuzzy control strategy, thereby improving the operational economy of pure electric tractors and extending the durability of fuel cells. The simulation results validate the effectiveness of the proposed energy management strategy across varying SOC conditions, demonstrating a significant reduction in fuel cell and reduce power fluctuations. In the 600 s simulation period, the proposed strategy decreased equivalent hydrogen consumption by 1.2% and 1.5% compared to compared to fuzzy control and power‑following strategies, respectively. Additionally, it reduced the rate of fuel cell lifespan decline by 46% and 15%, respectively.

Key words: electric tractor, fuel cell, energy management, tabu search algorithm, fuzzy logic control

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