Optimal usage of vehicle battery by multi-scale modelling
Research Project , 2018 – 2019

Today the usage of the energy storage on-board an electric vehicle is largely determined by estimates and predictions handled by the battery management system (BMS). To be safe with respect to detrimental conditions for the battery cells the margins set severely restricts the usage for the vehicle. The true internal battery cell conditions are, however, not known and cannot be measured online. This project targets how to both model the most crucial aspects of the internal cell conditions at the molecular and meso-scale levels, and how this affects the macroscopically online measurable data (voltage, current and temperature) – thus a multi-scale modelling approach beyond the conventional. The model created will be validated in detail, including a time-dependent ageing mode, by designed cell-cycling of model cells and microscopic materials analysis using several techniques; e-SEM, FIB-SEM and APT. The final objective is to use the better understanding of the correlation of internal conditions, observables and usage history to improve the model parametrization and develop new adaptive control strategies in an updated BMS.

Participants

Torsten Wik (contact)

Biträdande professor vid Chalmers, Electrical Engineering, Systems and control, Automatic Control

Patrik Johansson

Professor vid Chalmers, Physics, Condensed Matter Physics

Changfu Zou

Doktor vid Chalmers, Electrical Engineering, Systems and control, Automatic Control

Collaborations

Volvo Cars

Göteborg, Sweden

Volvo Group

Gothenburg, Sweden

Funding

Chalmers

Funding Chalmers participation during 2018–2019

Swedish Electromobility Centre

Funding Chalmers participation during 2018–2019

Related Areas of Advance and Infrastructure

Sustainable development

Driving Forces

Transport

Areas of Advance

Energy

Areas of Advance

Basic sciences

Roots

More information

Latest update

2018-12-03