articleChinese Journal of Mechanical EngineeringJan 1, 2026DIAMOND OA

Lithium-ion battery simulation optimization and lifetime prediction

XXXinqi XieRYRuixin YangWSWeixiang ShenRXRui Xiong

Beijing Institute of Technology · Swinburne University of Technology

Indexed incrossrefdoaj

Abstract

The rapid development of battery technologies necessitates substantial time and effort to conduct experiments and obtain cell characteristics. To address this challenge, this paper develops an electrochemical-thermal coupled model to simulate lithium-ion cells, with model parameters identified by using voltage and temperature as optimization targets. A genetic algorithm is employed for parameter identification and optimization. The model is validated through experiments on various cells under different operating conditions. The results demonstrate that the simulated voltage achieves high accuracy with a root mean square error (RMSE) ranging from 16 to 34 mV. Furthermore, a cell lifetime model is established by…

Citation impact

8
total citations
FWCI
151.98
Percentile
100%
References
32
Too recent for citation history.

Authors

4

Topics & keywords

Topics
Keywords
  • Battery (electricity)
  • Voltage
  • Mean squared error
  • Genetic algorithm
  • Identification (biology)
  • Ranging
  • Root mean square
  • Model validation
No related works found for this paper.

Funding