Introduction 
In order to lead the transition to a sustainable transport system, Scania is investing heavily into battery electric vehicles (BEVs). Optimizing battery life time is an important way to increase customer value and sustainability at the same time.  

Thesis work is an excellent way to get closer to Scania and build relationships for the future. Many of today's employees began their Scania career with their degree project. 

Background  
An accurate characterisation of the state of health of a battery (SOH)  and causes for its decrease is a basis for data driven sales decisions and to provide services that help customers optimize their BEV usage. SOH is commonly characterized in terms of discharge capacity (related to energy storage capacity), but aging is affected by several degradation modes that may respond differently to different types of stress. Moreover, different part of a large battery cell may age differently.  

Objective 
The objective of this project is to develop new methods to resolve different modes of capacity loss that can be applied in lab testing and vehicle follow-up. 

Job description  
In this project, you will explore mathematical methods to decompose capacity loss into different aging modes by model-based analysis of real-world data, characterise the theoretical and practical performance of these methods, and try to extend them to describe case on inhomogeneous aging. The project involves model development, implementation, and analysis of test data from lab test, material characterisations, and (time permitting) telematic vehicle data. 

Education/program/focus 
We look for students with a background in electrical engineering or statistics, with emphasis on control systems theory, system identification, and/or time series analysis. We are looking for both theoretical and practical statistical skills as well as programming and data manipulation skills in Matlab, python or R. Interest and knowledge of battery technology and electrochemistry is also advantageous. 

Number of students: 1-2 

Start date for the thesis work: January 2025 

Estimated time required: one semester 

Contact:  
Martin Lindén, EVBCM, martin.linden@scania.com  
Malin Andersson, EVBCM, malin.x.andersson@scania.com 
 

Application: 
Your application must include a CV, personal letter and transcript of grades. 

A background check might be conducted for this position. We are conducting interviews continuously and may close the recruitment earlier than the date specified.