چکیده مقاله
Battery systems are critical components in various applications, including electric vehicles EVs , uninterruptible power supplies UPS , and smart grids, where safety, reliability, and performance are paramount Accurate fault diagnosis, precise State of Health SOH estimation, and reliable prediction of Remaining Useful Life RUL are essential for preventing unexpected failures, optimizing maintenance schedules, and extending battery lifespan This paper provides a comprehensive review of existing methods and emerging trends in battery monitoring, covering physical modeling, data driven approaches, and hybrid techniques The study also addresses degradation mechanisms, fault indicators, and aging models, along with industrial applications and case studies Finally, key challenges, limitations, and future research directions are discussed, offering valuable insights for the development of advanced Battery Management Systems BMS and next generation energy storage technologies
کلیدواژهها
نویسندگان
Mohammadreza Abolghasemi
Department of Energy systems engineering, Amol University of Special Modem Technologies, Amol, Iran
Saeid Moosavi Anchepoli
Assistant Professor, Department of Energy systems engineering, Faculaty of Electrical engineering, Amol University of Special Modern Technologies
رزومه علمی کاربران
درباره سیویلیکاتبلیغات در سیویلیکاآمار علمی ایرانتقویم علمی ایرانداده کاوی مقالاتطرح های پژوهشی
شیوه ارجاع
در صورتی که می خواهید در اثر پژوهشی خود به این مقاله ارجاع دهید، به سادگی می توانید از عبارت زیر در بخش منابع و مراجع استفاده نمایید: Abolghasemi, Mohammadreza and Moosavi Anchepoli, Saeid,1404,A Comprehensive Review of Battery Fault Diagnosis, State-of- Health Estimation, and Remaining Useful Life Prediction,Ninth International Conference on Technology Development in Chemical Engineering,Tehran,https://civilica.com/doc/2636208
ارائهشده در
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