首页|New Findings from Department of ECE in the Area of Machine Learning Described (A Multi-scale Modeling Approach for Predicting and Mitigating Thermal Runaway In Electric Vehicle Batteries)
New Findings from Department of ECE in the Area of Machine Learning Described (A Multi-scale Modeling Approach for Predicting and Mitigating Thermal Runaway In Electric Vehicle Batteries)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingout of Chennai, India, by NewsRx edi tors, research stated, “This study presents a unique multi-scale modellingtechn ique for electric vehicle (EV) battery thermal runaway prediction models using e lectrochemical,thermal, and machine learning approaches. This modelling framewo rk has illuminated the thermal runaway’sphysical process and the race between h eat production and dissipation at the cell, module, andpack levels.”
ChennaiIndiaAsiaChemicalsCyborgsElectrochemicalsEmerging TechnologiesMachine LearningDepartment of ECE
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