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Predictive Battery Thermal Management of Electric Vehicles using Deep Learning
Andreas M. Billert
2025
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Improving the energy efficiency of battery electric vehicles increases their range and reduces well-to-wheel emissions. An efficient battery thermal management reduces the energy consumption while taking temperature- dependent battery ageing and power availability into account. This work presents a method for a predictive cooling strategy to reduce the energy consumption, using information about the route ahead and Quantile Neural Networks (Q*NN) for accurate predictions.
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Keywords
- Batteriethermomanagement
- battery thermal management
- deep learning
- neural networks
- Neuronale Netze
- Prädiktive Regelung
- predictive control
- Tiefes Lernen
Links
DOI: 10.5445/KSP/1000180497Editions