Ageing mechanisms and how to prolong the battery life in vehicle and energy storage applications

The project aim is to prolong the lifetime of a battery in vehicle applications and for stationary storage by intelligent battery control based on an increased comprehension of battery aging processes. This will be done combining practical tests and theoretical considerations. This project is a collaboration between Chalmers (CTH), Uppsala University (UU), Volvo Car Corporation (VCC) and ABB. Two PhD students surrounded by senior staff with will carry out the project. The project will start with study of existing models and test cycle protocols, and based on this testing will start both in laboratories and in vehicles. The experimental results will be used for validating and developing theoretical models. The knowledge will then be used for development of strategies and the algorithms for battery use in 1) electrified vehicle and 2) in stationary energy storage. These functions should give the user an optimal tool for battery lifetime in different applications.

Partner organizations

  • Volvo Cars (Private, Sweden)
Start date 01/04/2014
End date The project is closed: 30/06/2017
​Electric Vehicle (EV) and Hybrid Electric Vehicles (HEV) is one solution in reducing tailpipe emission. However the most expensive part in the EV and HEV is the energy storage system. Increasing the lifetime of the battery will improve the cost effectiveness of all vehicles using this technology. 

This project is a part of a larger project in a cooperation between Chalmers, Volvo Cars Corporation, Uppsala University and ABB. The goal is to give a better understanding and prediction of the aging in Li-ion batteries. The focus in this sub project is to characterize the main aging processes in Li-ion batteries. To mathematically describe them in a model predicting aging and lifetime of the battery. Further to use the new insights in deriving how the batteries are best utilized in the electrified vehicles for longest possible lifetime, with lowest possible impact on performance reduction.

​This sub project: Theresa Granérus, Henrik Markusson, VCC. Evelina Wikner & Torbjörn Thiringer, Chalmers

The main project: Kristina Edström, Daniel Brandell, Erik Björklund, Uppsala University, Tomas Tengner, ABB

Funded by

  • Swedish Energy Agency (Public, Sweden)

Published: Thu 31 May 2018.