Battery Temperature Prediction Using an Adaptive Neuro-Fuzzy Inference System
Hanwen Zhang,
Abbas Fotouhi,
Daniel J. Auger
et al.
Abstract:Maintaining batteries within a specific temperature range is vital for safety and efficiency, as extreme temperatures can degrade a battery’s performance and lifespan. In addition, battery temperature is the key parameter in battery safety regulations. Battery thermal management systems (BTMSs) are pivotal in regulating battery temperature. While current BTMSs offer real-time temperature monitoring, their lack of predictive capability poses a limitation. This study introduces a novel hybrid system that combine… Show more
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