Battery Performance Modelling

About this programme

Understanding and optimizing battery performance is crucial for advancing electrification, sustainable mobility, and renewable energy systems. This course provides a comprehensive overview of battery performance, ageing processes, and modelling techniques to improve efficiency, reliability, and service life. You will explore battery operation from a whole-system perspective, including its integration in electric vehicles (EVs), charging infrastructure, and energy grids. The course covers both physics-based and data-driven modelling approaches at the cell, module, and pack levels, equipping learners with tools to monitor, predict, and optimize battery performance in real-world applications. Through this course, you will gain the ability to assess battery health, model degradation, and evaluate second-life applications from both technical and economic standpoints. Distance learning Mandatory sessions on campus: 0 Optional sessions on campus: 0 75 credits in mechanical engineering, production engineering, product and process development, industrial engineering and management, computer science, physics or equivalent or 40 credits in engineering/technology and at least 2 years' experience in full-time employment in a relevant area within industry. In addition Swedish course 3 or Swedish level 3 and English course 6 or English level 2 are required. For courses given entirely in English exemption is made from the requirement in Swedish course 3 or Swedish level 3. If you have any questions about the course, please contact the Course Coordinator.