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Adaptive look-ahead model predictive control strategy of vehicular PEMFC thermal management

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  • Liu, Zhaoming
  • Chang, Guofeng
  • Yuan, Hao
  • Tang, Wei
  • Xie, Jiaping
  • Wei, Xuezhe
  • Dai, Haifeng

Abstract

This study presents an improved model predictive control (MPC) strategy for the thermal management of vehicular fuel cells, with the incorporation of model adaptation, the utilization of look-ahead information, and temperature trajectory planning. To describe the thermal dynamics of the fuel cell cooling system, a three-volume model of a 60 kW fuel cell system is proposed and validated with dynamic load experiments. Additionally, a fuel cell temperature sensitivity experiment is conducted to identify a comfort temperature reference. The predictive models developed to cover the entire range of power levels are based on the integration of look-ahead power information and weigh adjustment of actuators. Results from the analysis of look-ahead times suggest that a 4-s preview is suitable for mitigating fuel cell dry and flooding risks. Dynamic control results demonstrate a 22%–60% reduction in temperature tracking error compared to MPC-H, MPC-M, MPC-L and MPID, while energy-saving abilities are increased by 50% relative to MPID, contributing to improve the state balance and economy for vehicular fuel cells.

Suggested Citation

  • Liu, Zhaoming & Chang, Guofeng & Yuan, Hao & Tang, Wei & Xie, Jiaping & Wei, Xuezhe & Dai, Haifeng, 2023. "Adaptive look-ahead model predictive control strategy of vehicular PEMFC thermal management," Energy, Elsevier, vol. 285(C).
    • Handle: RePEc:eee:energy:v:285:y:2023:i:c:s0360544223025707
    DOI: 10.1016/j.energy.2023.129176
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    References listed on IDEAS

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