首页|Findings from Chang’an University Has Provided New Data on MachineLearning (Co- estimation of State of Charge and Capacity forBattery Packs In Real Electric Ve hicles With Few RepresentativeCells and Physics-informed Machine Learning)
Findings from Chang’an University Has Provided New Data on MachineLearning (Co- estimation of State of Charge and Capacity forBattery Packs In Real Electric Ve hicles With Few RepresentativeCells and Physics-informed Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in Shaanxi, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Accurate state of charge and capacity estimation is crucial for battery packs in electric vehi cles. However,the cell inconsistencies, computational complexity, temperature v ariations, and complex drive cycles allpose great challenges for the state of c harge and capacity estimation of battery packs in field operation.”Financial supporters for this research include National Key Research & Development Program of China,Key Research and Development Program of Shaanxi Pr ovince, Natural Science Basic Research Programin Shaanxi, China, China Postdoct oral Science Foundation, China Scholarship Council.
ShaanxiPeople’s Republic of ChinaAsi aCyborgsEmergingTechnologiesMachine LearningChang’an University
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