An Improved PSO-Based DC Discharge Heating Strategy for Lithium-Ion Batteries at Low Temperatures

Shaojian Han, Chengwei Li, Jifeng Ding, Xinhua Gao, Xiaojie Li and Zhiwen Zhang ()
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Shaojian Han: School of Energy and Power Engineering, North University of China, Taiyuan 030051, China
Chengwei Li: School of Energy and Power Engineering, North University of China, Taiyuan 030051, China
Jifeng Ding: China North Engine Research Institute, Tianjin 300400, China
Xinhua Gao: School of Energy and Power Engineering, North University of China, Taiyuan 030051, China
Xiaojie Li: School of Energy and Power Engineering, North University of China, Taiyuan 030051, China
Zhiwen Zhang: School of Vehicle and Energy, Yanshan University, Qinhuangdao 066000, China

Energies, 2025, vol. 18, issue 9, 1-18

Abstract: In low-temperature environments, both the electrochemical and thermodynamic performances of lithium-ion batteries are significantly affected, leading to a substantial decline in overall performance. This deterioration is primarily manifested in the inability of the battery to release its actual capacity effectively, a marked reduction in charge–discharge efficiency, and accelerated capacity degradation, directly undermining its power output capability under low-temperature conditions. This performance degradation severely restricts the application of lithium-ion batteries in scenarios requiring high power and extended range, such as EVs. This paper proposes an intelligent low-temperature DC discharge heating optimization strategy based on the PSO algorithm. The strategy aims to simultaneously optimize heating time and minimize capacity loss by employing the PSO algorithm to dynamically optimize discharge currents under varying ambient temperatures. This approach achieves the simultaneous optimization of battery heating efficiency and capacity loss. It effectively overcomes the limitation of traditional constant-current discharge methods, which struggle to dynamically adjust current intensity based on real operating conditions. By balancing heating efficiency and capacity degradation, the model significantly enhances energy utilization. Taking the weighting factor λ = 0.5 as an example, the battery is heated from −30 °C to 0 °C at a 90% initial SOC. Compared to preheating methods that directly use the minimum optimized dynamic current threshold, it reduces heating time by 48.71 s and increases the heating rate by more than twofold. In contrast to preheating methods using the maximum optimized dynamic current threshold, it decreases capacity degradation by 0.10 Ah after 1000 heating cycles. This strategy addresses the limitations of traditional heating methods, providing a novel solution for the efficient application of lithium-ion batteries in low-temperature environments.

Keywords: low temperature; PSO; lithium-ion battery; direct-current discharge heating (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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