An optimal internal-heating strategy for lithium-ion batteries at low temperature considering both heating time and lifetime reduction

Haijun Ruan, Jiuchun Jiang, Bingxiang Sun, Xiaojia Su, Xitian He, Kejie Zhao

Research output: Contribution to journalArticlepeer-review

70 Citations (Scopus)

Abstract

Low-temperature preheating of batteries is fundamental to ensure that electric vehicles exhibit excellent performance in all-climate conditions. Direct current for discharge is presented to rapidly preheat batteries due to its simple implementation and high heat generation compared to alternating current. Experimental results reveal that the heating time is significantly reduced while capacity degradation is dramatically increased, with the decreasing discharge heating voltage. A simple fade model to capture battery capacity loss is proposed and accurately demonstrated under direct-current discharge heating. Pareto front for dual crucial yet conflicting objectives, heating time and capacity loss, is obtained using the multi-objective genetic algorithm and the effect of weighting coefficient on heating performance is discussed, thus proposing an optimal internal-heating strategy. The battery is rapidly heated from −30 °C to 2.1 °C within 103 s and the capacity loss is only 1.4% after 500 repeatedly heating, implying substantially no lifetime deterioration. At 0.8 state-of-charge, the heated battery can offer 8.7/32.7 times the discharge/charge power and 62.46 times the discharge energy of the unheated battery, indicating a significant performance boost. The proposed optimal heating method, thanks to short heating time and no substantial lifetime reduction, yields great potential to rapidly boost battery performance in extremely cold conditions.

Original languageEnglish
Article number113797
JournalApplied Energy
Volume256
Early online date18 Sept 2019
DOIs
Publication statusPublished - 15 Dec 2019
Externally publishedYes

Funder

This work is supported by the Fundamental Research Funds of the Central Universities, China (Grant No. 2018JBM053) and the National Natural Science Foundation of China, China (Grant No. U1664255)

Keywords

  • Battery fade model
  • Battery heat generation model
  • Direct-current discharge heating voltage
  • Lithium-ion battery
  • Low temperature
  • Optimal heating

ASJC Scopus subject areas

  • Building and Construction
  • Energy(all)
  • Mechanical Engineering
  • Management, Monitoring, Policy and Law

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