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User-involved charging control for lithium-ion batteries with economic cost optimization

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  • Ouyang, Quan
  • Fang, Ruyi
  • Xu, Guotuan
  • Liu, Yonggang

Abstract

Effective lithium-ion battery charging plays an essential role in promoting the development of electrified transportation. In this work, based on a coupled electrothermal model, an optimal charging control strategy is proposed by formulating a multi-objective optimization problem with comprehensively taking into account the user demand realization, economic cost optimization, energy loss reduction, and safety-related constraints. Next, the barrier method is employed to solve it to obtain the optimal charging current. This work highlights the superiorities of the multi-objective optimal charging approach that can intelligently adjust the charging current according to the user demand and peak–valley time-of-use electricity price, which can not only accomplish the user charging demand but also bring the benefit of less electricity fee and energy loss, thus alleviating the financial burden of users. At last, extensive simulation and experimental results validate the effectiveness of the designed multi-objective optimal charging control method.

Suggested Citation

  • Ouyang, Quan & Fang, Ruyi & Xu, Guotuan & Liu, Yonggang, 2022. "User-involved charging control for lithium-ion batteries with economic cost optimization," Applied Energy, Elsevier, vol. 314(C).
    • Handle: RePEc:eee:appene:v:314:y:2022:i:c:s0306261922003075
    DOI: 10.1016/j.apenergy.2022.118878
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    References listed on IDEAS

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    Cited by:

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    3. García-Triviño, Pablo & Sarrias-Mena, Raúl & García-Vázquez, Carlos A. & Leva, Sonia & Fernández-Ramírez, Luis M., 2023. "Optimal online battery power control of grid-connected energy-stored quasi-impedance source inverter with PV system," Applied Energy, Elsevier, vol. 329(C).

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