Modelling
Throughout battery operation, the battery is carefully monitored by a battery management system (BMS). The BMS monitors outputs (such as coolant temperature and voltage) and actions inputs (current and coolant temperature) based on battery performance. The efficacy of the BMS is governed by the model it utilises – therefore better models will increase the lifetime and performance of batteries by predicting degradation modes and acting to mitigate them. Models can also be used to improve battery manufacturing by understanding the processes occurring and being used for optimisation. Industry currently relies on empirical evidence to optimise their manufacturing processes, so providing robust modelling tools to industry is essential to push battery technology further.
MSM - Multi-Scale Modelling
Partners |
Value |
Dates |
Funding body |
| Imperial College London, Oxford University, Lancaster University, Warwick Manufacturing Group, University of Birmingham, Portsmouth University, Southampton University, University College London | £10million (across partners) | Mar 2018 – Feb 2021 (extension TBC) | The Faraday Institution |
Introduction:
The project aims to make the battery modelling tools that are being developed in academia available to industry. The focus is to apply fundamental science to models in order to improve the predictability of battery systems in automotive and energy storage applications. These models aim to predict ionic, electronic and thermal transport across the atomic and up to battery pack scale. This collaboration utilises teams at several universities to draw from a wide range of disciplines to enable a concerted approach.
External website
Multi-scale Modelling - The Faraday Institution