Towards Safer and Smarter Design for Lithium-Ion-Battery-Powered Electric Vehicles: A Comprehensive Review on Control Strategy Architecture of Battery Management System

Bragadeshwaran Ashok, Chidambaram Kannan, Byron Mason, Sathiaseelan Denis Ashok, Vairavasundaram Indragandhi, Darsh Patel, Atharva Sanjay Wagh, Arnav Jain and Chellapan Kavitha
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Bragadeshwaran Ashok: School of Mechanical Engineering, Vellore Institute of Technology, Vellore 632014, India
Chidambaram Kannan: School of Mechanical Engineering, Vellore Institute of Technology, Vellore 632014, India
Byron Mason: Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough LE11 3TU, UK
Sathiaseelan Denis Ashok: School of Mechanical Engineering, Vellore Institute of Technology, Vellore 632014, India
Vairavasundaram Indragandhi: School of Electrical Engineering, Vellore Institute of Technology, Vellore 632014, India
Darsh Patel: School of Mechanical Engineering, Vellore Institute of Technology, Vellore 632014, India
Atharva Sanjay Wagh: School of Mechanical Engineering, Vellore Institute of Technology, Vellore 632014, India
Arnav Jain: School of Mechanical Engineering, Vellore Institute of Technology, Vellore 632014, India
Chellapan Kavitha: Department of Electronics and Communication Engineering, Sreenivasa Institute of Technology and Management Studies, Chittoor 517127, India

Energies, 2022, vol. 15, issue 12, 1-44

Abstract: As the battery provides the entire propulsion power in electric vehicles (EVs), the utmost importance should be ascribed to the battery management system (BMS) which controls all the activities associated with the battery. This review article seeks to provide readers with an overview of prominent BMS subsystems and their influence on vehicle performance, along with their architectures. Moreover, it collates many recent research activities and critically reviews various control strategies and execution topologies implied in different aspects of BMSs, including battery modeling, states estimation, cell-balancing, and thermal management. The internal architecture of a BMS, along with the architectures of the control modules, is examined to demonstrate the working of an entire BMS control module. Moreover, a critical review of different battery models, control approaches for state estimation, cell-balancing, and thermal management is presented in terms of their salient features and merits and demerits allowing readers to analyze and understand them. The review also throws light on modern technologies implied in BMS, such as IoT (Internet of Things) and cloud-based BMS, to address issues of battery safety. Towards the end of the review, some challenges associated with the design and development of efficient BMSs for E-mobility applications are discussed and the article concludes with recommendations to tackle these challenges.

Keywords: battery management system; state estimation; cell-balancing; thermal management; electric vehicle; intelligent BMS (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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