A safety performance estimation model of lithium-ion batteries for electric vehicles under dynamic compression

Li Yiding, Wang Wenwei, Lin Cheng, Yang Xiaoguang, Zuo Fenghao

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Dynamic compression is a common scenario of mechanical abuse of lithium-ion batteries for electric vehicles. The safety characteristics under dynamic compression is highly different from that under quasi-static compression, whereas research in this field is still scarce. Here, the lateral quasi-static compression and dynamic compression of two kinds of cylindrical lithium-ion batteries are carried out. According to the first order derivative of the force to the displacement, there are six main stages of the battery behavior under lateral compression. The behavior of STAGE IV under the dynamic compression is obviously different from that under quasi-static compression. Both experimental and modeling results reveal that the dynamic load has a certain strengthening effect on the battery. For both types of batteries, the equivalent strength under high strain rate tends to be consistent. Combined with the Crushable-Foam material model and Johnson-Cook material model, the dynamic and quasi-static mechanical simulation are performed at the cell level, and the simulation results well explain the experimental phenomenon. The simulation and experimental results show that the safety warning of the cylindrical lithium-ion battery based on mechanical penetration has a certain safety margin, which can provide valuable reference for the battery safety under mechanical abuse in the future.

Original languageEnglish (US)
Article number119050
JournalEnergy
Volume215
DOIs
StatePublished - Jan 15 2021

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Modeling and Simulation
  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Pollution
  • Energy(all)
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Management, Monitoring, Policy and Law
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A safety performance estimation model of lithium-ion batteries for electric vehicles under dynamic compression'. Together they form a unique fingerprint.

Cite this