Predictive battery thermal management strategy for fast charging electric vehicles
conference paper
Battery thermal management is essential to efficienct and safe operation of Li-ion batteries, particularly in challenging applications such as fast charging. This work proposes a thermal management control framework based on MPC. The novelty of this approach resides in the focus on incorporating disturbance prediction into the control decision. Simulations show that this methodology allows for lower peak and mean battery temperatures during fast charging for a similarly sized battery thermal management system; or battery thermal management system downsizing for similar thermal performance.
TNO Identifier
869629
ISBN
9781510891579
Publisher
Society of Automotive Engineers of Japan JSAE
Article nr.
20189361
DS4-6
DS4-6
Source title
31st International Electric Vehicle Symposium and Exhibition, EVS 2018, and International Electric Vehicle Technology Conference 2018, EVTeC 2018, 30 September - 3 October 2018, Kobe, Japan - vol. 3
Pages
1580-1586
Files
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