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Comparison of Two Energy Management Strategies Considering Power System Durability for PEMFC-LIB Hybrid Logistics Vehicle

Author

Listed:
  • Jianying Liang

    (CRRC Qingdao Sifang Co. Ltd., Qingdao 266111, China)

  • Yankun Li

    (CRRC Qingdao Sifang Co. Ltd., Qingdao 266111, China)

  • Wenya Jia

    (School of Automotive Studies, Tongji University, Shanghai 201804, China)

  • Weikang Lin

    (School of Automotive Studies, Tongji University, Shanghai 201804, China)

  • Tiancai Ma

    (School of Automotive Studies, Tongji University, Shanghai 201804, China)

Abstract

For commercial applications, the durability and economy of the fuel cell hybrid system have become obstacles to be overcome, which are not only affected by the performance of core materials and components, but also closely related to the energy management strategy (EMS). This paper takes the 7.9 t fuel cell logistics vehicle as the research object, and designed the EMS from two levels of qualitative and quantitative analysis, which are the composite fuzzy control strategy optimized by genetic algorithm and Pontryagin’s minimum principle (PMP) optimized by objective function, respectively. The cost function was constructed and used as the optimization objective to prolong the life of the power system as much as possible on the premise of ensuring the fuel economy. The results indicate that the optimized PMP showed a comprehensive optimal performance, the hydrogen consumption was 3.481 kg/100 km, and the cost was 13.042 $/h. The major contribution lies in that this paper presents a method to evaluate the effect of different strategies on vehicle performance including fuel economy and durability of the fuel cell and battery. The comparison between the two totally different strategies helps to find a better and effective solution to reduce the lifetime cost.

Suggested Citation

  • Jianying Liang & Yankun Li & Wenya Jia & Weikang Lin & Tiancai Ma, 2021. "Comparison of Two Energy Management Strategies Considering Power System Durability for PEMFC-LIB Hybrid Logistics Vehicle," Energies, MDPI, vol. 14(11), pages 1-24, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3262-:d:567781
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    References listed on IDEAS

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    1. Tiancai Ma & Weikang Lin & Yanbo Yang & Ming Cong & Zhuoping Yu & Qiongqiong Zhou, 2019. "Research on Control Algorithm of Proton Exchange Membrane Fuel Cell Cooling System," Energies, MDPI, vol. 12(19), pages 1-15, September.
    2. Liu, Yonggang & Liu, Junjun & Zhang, Yuanjian & Wu, Yitao & Chen, Zheng & Ye, Ming, 2020. "Rule learning based energy management strategy of fuel cell hybrid vehicles considering multi-objective optimization," Energy, Elsevier, vol. 207(C).
    3. Jiang, Hongliang & Xu, Liangfei & Li, Jianqiu & Hu, Zunyan & Ouyang, Minggao, 2019. "Energy management and component sizing for a fuel cell/battery/supercapacitor hybrid powertrain based on two-dimensional optimization algorithms," Energy, Elsevier, vol. 177(C), pages 386-396.
    4. Xu, Liangfei & Mueller, Clemens David & Li, Jianqiu & Ouyang, Minggao & Hu, Zunyan, 2015. "Multi-objective component sizing based on optimal energy management strategy of fuel cell electric vehicles," Applied Energy, Elsevier, vol. 157(C), pages 664-674.
    5. Wang, Yujie & Sun, Zhendong & Chen, Zonghai, 2019. "Energy management strategy for battery/supercapacitor/fuel cell hybrid source vehicles based on finite state machine," Applied Energy, Elsevier, vol. 254(C).
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    Cited by:

    1. Penghui Qiang & Peng Wu & Tao Pan & Huaiquan Zang, 2021. "Real-Time Approximate Equivalent Consumption Minimization Strategy Based on the Single-Shaft Parallel Hybrid Powertrain," Energies, MDPI, vol. 14(23), pages 1-22, November.
    2. Chiara Dall’Armi & Davide Pivetta & Rodolfo Taccani, 2021. "Health-Conscious Optimization of Long-Term Operation for Hybrid PEMFC Ship Propulsion Systems," Energies, MDPI, vol. 14(13), pages 1-20, June.

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