Performance Analysis And Battery Management System Optimization In Electric Vehicles

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Year : 2026 | Volume : 17 | 01 | Page :
    By

    Tej Prakash Verma,

  • Ramjee Gupta,

  1. Assistant Professor, Department of Electrical Engineering B.I.E.T. Lucknow, Uttar Pradesh, India
  2. Student, Department of Electrical Engineering B.I.E.T. Lucknow, Uttar Pradesh, India

Abstract

The​‍​‌‍​‍‌​‍​‌‍​‍‌ rapid electrification of the automotive industry has led to an increased need for battery management systems that are not only efficient and safe but also intelligent. BMS is the device that guarantees the best use of the battery, prolongs its life, and allows its safe operation even under different environmental and load conditions. Through the synthesis of literature and industry practices, this paper acts as a tribute to the evolution of technology, the obstacles, and the future prospects of a BMS unit in an electric vehicle (EV) application. This survey paper combines numerous research contributions to present a comprehensive perspective of the BMS that covers the following aspects: battery state estimation, thermal management, fault diagnosis, hardware architecture, and intelligent algorithmic control strategies. Besides conventional Methods for estimation of SOC, SOH, and SOT are compared to the latest ones using AI, machine learning, and data-driven models. Managed are investigated cell balancing techniques as well as the union of cybersecurity and diagnostic systems for smart devices. The limitations in the reliability, accuracy, real-time performance, and cost-effectiveness of state-of-the-art BMS are highlighted together with the mitigations suggested by recent literature. Finally, the paper points to the future landscape of BMS being equipped with features like cloud connection, digital twins, AI-powered battery analytics, and adaptive control systems. This paper offers a comprehensive and technical base for researchers and engineers who are eager to come up with innovative BMS solutions that would be instrumental in the progress of the electric mobility ​‍​‌‍​‍‌​‍​‌‍​‍‌sector.

Keywords: Battery Management System, Electric Vehicles, State Estimation, Thermal Management, Optimization.

How to cite this article:
Tej Prakash Verma, Ramjee Gupta. Performance Analysis And Battery Management System Optimization In Electric Vehicles. Journal of Control & Instrumentation. 2026; 17(01):-.
How to cite this URL:
Tej Prakash Verma, Ramjee Gupta. Performance Analysis And Battery Management System Optimization In Electric Vehicles. Journal of Control & Instrumentation. 2026; 17(01):-. Available from: https://journals.stmjournals.com/joci/article=2026/view=238918


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Ahead of Print Subscription Original Research
Volume 17
01
Received 11/12/2025
Accepted 10/02/2026
Published 20/03/2026
Publication Time 99 Days
54

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