Loading…

Development of Time-Temperature Analysis Algorithm for Estimation of Lithium-Ion Battery Useful Life

Due to the recent progress in electrification, lithium-ion batteries have been widely used for electric and hybrid vehicles. Lithium-ion batteries exhibit high energy density and high-power density which are critical for vehicle development with high driving range enhanced performance. However, high...

Full description

Saved in:
Bibliographic Details
Main Authors: Arora, Dipan, El-Sharkawy, Alaa, Panchal, Satyam
Format: Report
Language:English
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Due to the recent progress in electrification, lithium-ion batteries have been widely used for electric and hybrid vehicles. Lithium-ion batteries exhibit high energy density and high-power density which are critical for vehicle development with high driving range enhanced performance. However, high battery temperature can negatively impact the battery life, performance, and energy delivery. In this paper, we developed and applied an analytical algorithm to estimate battery life-based vehicle level testing. A set of vehicle level tests were selected to represent customer duty cycles. Thermal degradation models are applied to estimate battery capacity loss during driving and park conditions. Due to the sensitivity of Lithium-Ion batteries to heat, the effect of high ambient temperatures throughout the year is considered as well. The analysis provides an estimate of the capacity loss due to calendar and cyclic effects throughout the battery life. Based on this analysis, appropriate thermal management can be implemented to mitigate the impact of high temperature on battery life.
ISSN:0148-7191
2688-3627
DOI:10.4271/2024-01-2191