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A novel engine and battery coupled thermal management strategy for connected HEVs based on switched model predictive control under low temperature

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  • Li, Kai
  • Chen, Hong
  • Hou, Shengyan
  • Eriksson, Lars
  • Gao, Jinwu

Abstract

Under a low-temperature environment, electric vehicles face serious environmental adaptability problems, and efficient vehicle thermal management strategies are urgently needed. This paper presents a novel engine–battery coupled thermal management strategy for connected hybrid electric vehicles (HEVs). An improved system structure for an engine–battery coupled thermal management system (engine–battery CTMS) is designed to avoid unnecessary heat loss. The control requirements of the engine–battery CTMS include minimum engine fuel consumption, minimum power battery aging damage and minimum system energy consumption, which constitutes a multi-objective optimal control problem in a finite time domain. Based on model predictive control (MPC) theory, a switched nonlinear MPC (NMPC) control strategy is proposed to solve the optimal control problem of the complex coupled multi-input multi-output system. To verify the effectiveness of the proposed strategy, three comparative experiments of the centralized NMPC-based and rule-based methods combined with the improved system structure and the unimproved system structure are designed. The results of the cosimulation experiment between MATLAB/Simulink and AMEsim under various driving cycles and different ambient temperatures show that the improved structure and switched control strategy confer great advantages in reducing the controller computation burden, engine fuel consumption, and power battery aging damage.

Suggested Citation

  • Li, Kai & Chen, Hong & Hou, Shengyan & Eriksson, Lars & Gao, Jinwu, 2023. "A novel engine and battery coupled thermal management strategy for connected HEVs based on switched model predictive control under low temperature," Energy, Elsevier, vol. 278(C).
    • Handle: RePEc:eee:energy:v:278:y:2023:i:c:s0360544223011209
    DOI: 10.1016/j.energy.2023.127726
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    References listed on IDEAS

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    1. He, Hongwen & Wang, Yunlong & Han, Ruoyan & Han, Mo & Bai, Yunfei & Liu, Qingwu, 2021. "An improved MPC-based energy management strategy for hybrid vehicles using V2V and V2I communications," Energy, Elsevier, vol. 225(C).
    2. Ma, Yan & Ding, Hao & Liu, Yongqin & Gao, Jinwu, 2022. "Battery thermal management of intelligent-connected electric vehicles at low temperature based on NMPC," Energy, Elsevier, vol. 244(PA).
    3. Li, Longquan & Liu, Zhiqiang & Deng, Chengwei & Xie, Nan & Ren, Jingzheng & Sun, Yi & Xiao, Zhenyu & Lei, Kun & Yang, Sheng, 2022. "Thermodynamic and exergoeconomic analyses of a vehicular fuel cell power system with waste heat recovery for cabin heating and reactants preheating," Energy, Elsevier, vol. 247(C).
    4. Jaguemont, J. & Boulon, L. & Dubé, Y., 2016. "A comprehensive review of lithium-ion batteries used in hybrid and electric vehicles at cold temperatures," Applied Energy, Elsevier, vol. 164(C), pages 99-114.
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    Cited by:

    1. Xiao, Renxin & Liang, Daping & Ba, Tingjie & Sun, Min & Chen, Guisheng & Yao, Guozhong & Zheng, Yongming, 2024. "Integrated optimization of dedicated engine and energy management strategy for the plug-in hybrid commercial vehicle at high altitude," Energy, Elsevier, vol. 290(C).
    2. Yetik, Ozge & Morali, Ugur & Karakoc, Tahir Hikmet, 2023. "A numerical study of thermal management of lithium-ion battery with nanofluid," Energy, Elsevier, vol. 284(C).

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