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An Optimized Energy Management Strategy for Preheating Vehicle-Mounted Li-ion Batteries at Subzero Temperatures

Author

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  • Tao Zhu

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

  • Haitao Min

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

  • Yuanbin Yu

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

  • Zhongmin Zhao

    (FAW Bus and Coach Co., Ltd., Changchun 130033, China)

  • Tao Xu

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

  • Yang Chen

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

  • Xinyong Li

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

  • Cong Zhang

    (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China)

Abstract

This paper presents an optimized energy management strategy for Li-ion power batteries used on electric vehicles (EVs) at low temperatures. In low-temperature environments, EVs suffer a sharp driving range loss resulting from the energy and power capability reduction of the battery. Simultaneously, because of Li plating, battery degradation becomes an increasing concern as the temperature drops. All these factors could greatly increase the total vehicle operation cost. Prior to battery charging and vehicle operating, preheating the battery to a battery-friendly temperature is an approach to promote energy utilization and reduce total cost. Based on the proposed LiFePO 4 battery model, the total vehicle operation cost under certain driving cycles is quantified in the present paper. Then, given a certain ambient temperature, a target preheating temperature is optimized under the principle of minimizing total cost. As for the preheating method, a liquid heating system is also implemented on an electric bus. Simulation results show that the preheating process becomes increasingly necessary with decreasing ambient temperature, however, the preheating demand declines as driving range grows. Vehicle tests verify that the preheating management strategy proposed in this paper is able to save on total vehicle operation costs.

Suggested Citation

  • Tao Zhu & Haitao Min & Yuanbin Yu & Zhongmin Zhao & Tao Xu & Yang Chen & Xinyong Li & Cong Zhang, 2017. "An Optimized Energy Management Strategy for Preheating Vehicle-Mounted Li-ion Batteries at Subzero Temperatures," Energies, MDPI, vol. 10(2), pages 1-23, February.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:2:p:243-:d:90687
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    References listed on IDEAS

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    1. Song, Ziyou & Hofmann, Heath & Li, Jianqiu & Hou, Jun & Zhang, Xiaowu & Ouyang, Minggao, 2015. "The optimization of a hybrid energy storage system at subzero temperatures: Energy management strategy design and battery heating requirement analysis," Applied Energy, Elsevier, vol. 159(C), pages 576-588.
    2. Xu, Meng & Zhang, Zhuqian & Wang, Xia & Jia, Li & Yang, Lixin, 2015. "A pseudo three-dimensional electrochemical–thermal model of a prismatic LiFePO4 battery during discharge process," Energy, Elsevier, vol. 80(C), pages 303-317.
    3. Rao, Zhonghao & Wang, Shuangfeng, 2011. "A review of power battery thermal energy management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4554-4571.
    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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    Citations

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    Cited by:

    1. Waseem Raza & Gwang Soo Ko & Youn Cheol Park, 2020. "Induction Heater Based Battery Thermal Management System for Electric Vehicles," Energies, MDPI, vol. 13(21), pages 1-21, October.
    2. Zhu, Tao & Lot, Roberto & Wills, Richard G.A. & Yan, Xingda, 2020. "Sizing a battery-supercapacitor energy storage system with battery degradation consideration for high-performance electric vehicles," Energy, Elsevier, vol. 208(C).
    3. Adnane Houbbadi & Rochdi Trigui & Serge Pelissier & Eduardo Redondo-Iglesias & Tanguy Bouton, 2019. "Optimal Scheduling to Manage an Electric Bus Fleet Overnight Charging," Energies, MDPI, vol. 12(14), pages 1-17, July.
    4. Gaizka Saldaña & José Ignacio San Martín & Inmaculada Zamora & Francisco Javier Asensio & Oier Oñederra, 2019. "Analysis of the Current Electric Battery Models for Electric Vehicle Simulation," Energies, MDPI, vol. 12(14), pages 1-27, July.
    5. Călin Iclodean & Nicolae Cordoș & Adrian Todoruț, 2019. "Analysis of the Electric Bus Autonomy Depending on the Atmospheric Conditions," Energies, MDPI, vol. 12(23), pages 1-23, November.
    6. James Jeffs & Andrew McGordon & Alessandro Picarelli & Simon Robinson & Yashraj Tripathy & Widanalage Dhammika Widanage, 2018. "Complex Heat Pump Operational Mode Identification and Comparison for Use in Electric Vehicles," Energies, MDPI, vol. 11(8), pages 1-24, August.
    7. Zhu, Tao & Wills, Richard G.A. & Lot, Roberto & Kong, Xiaodan & Yan, Xingda, 2021. "Optimal sizing and sensitivity analysis of a battery-supercapacitor energy storage system for electric vehicles," Energy, Elsevier, vol. 221(C).
    8. Klaus Kivekäs & Antti Lajunen & Jari Vepsäläinen & Kari Tammi, 2018. "City Bus Powertrain Comparison: Driving Cycle Variation and Passenger Load Sensitivity Analysis," Energies, MDPI, vol. 11(7), pages 1-26, July.

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