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Comparative Analysis of State-of-Health Estimation Techniques: A Comprehensive Survey
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Author(s): Rakhee Kallimani (KLE Technological University, India), Krishna Pai (Independent Researcher, India)and Prachi Patil (Vellore Institute of Technology, India)
Copyright: 2024
Pages: 17
Source title:
A Sustainable Future with E-Mobility: Concepts, Challenges, and Implementations
Source Author(s)/Editor(s): Lakshmi D. (VIT Bhopal University, India), Neelu Nagpal (Maharaja Agrasen Institute of Technology, India), Neelam Kassarwani (Maharaja Agrasen Institute of Technology, India), Vishnu Varthanan G. (VIT Bhopal University, India)and Pierluigi Siano (University of Salerno, Italy)
DOI: 10.4018/979-8-3693-5247-2.ch004
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Abstract
The advancement and transformation in batteries have given rise to high-power applications such as electric vehicles. Electric vehicles are widely accepted in the automobile industries assessing the most feasible alternatives for lowering carbon emissions and addressing the various global sustainable environmental challenges. Lithium-ion (Li-ion) batteries are the prominent component in the energy storage system. Monitoring the battery condition is a prominent task of the battery management system (BMS). Many parameters affect the battery's health and could lead to degradation of the battery leading to underperformance of the system. This chapter discusses the various methods of computing the state of health (SOH) and presents an analysis of the SOH errors, estimation model, benefits, drawbacks, and challenges and provides recommendations for battery management system development.
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