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An operation efficacy-oriented predictive control management for power-redistributable lithium-ion battery pack

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  • Zhong, Hao
  • Lei, Fei
  • Zhu, Wenhao
  • Zhang, Zhe

Abstract

The improvement of the operation efficacy of lithium-ion batteries is a critical issue for developing charge/discharge management systems in electric vehicles. An operation efficacy-oriented predictive control management strategy is proposed to explore the maximum operation efficacy of battery cells based on a power-redistributable battery pack consisting of multiple individual controllable battery power units. Battery electrothermal dynamics are described by a control-oriented energy-temperature model considering energy efficiency. The proposed strategy reformulation as a standard quadratic programming problem generates an optimal charge/discharge protocol by maximizing energy efficiency and minimizing aging rates. A traditional battery pack with passive rule-based balancing management is quantitatively compared by employing a high-fidelity battery pack model as the research object. The results show that after 30 cycles of fully charging/discharging, the operation efficacy of batteries can be improved to a large extent, for example, an apparent increase in the average energy efficiency from 91.18% to 97.80% and a non-negligible reduction in the capacity aging rate from 0.021% to 0.009%. Finally, three other tests, including 200 cycles of fully charging/discharging, a 50-cell module test, and an automotive driving cycle test, are simulated and discussed, demonstrating a higher operation efficacy for managing more batteries or handling dynamic driving conditions.

Suggested Citation

  • Zhong, Hao & Lei, Fei & Zhu, Wenhao & Zhang, Zhe, 2022. "An operation efficacy-oriented predictive control management for power-redistributable lithium-ion battery pack," Energy, Elsevier, vol. 251(C).
    • Handle: RePEc:eee:energy:v:251:y:2022:i:c:s036054422200754x
    DOI: 10.1016/j.energy.2022.123851
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    1. Liu, Haoran & Yu, Jiaqi & Wang, Ruzhu, 2022. "Model predictive control of portable electronic devices under skin temperature constraints," Energy, Elsevier, vol. 260(C).

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