Optimized Battery Management: A Comparative Analysis of Controller Systems for Enhanced Energy Efficiency

¹ EEE Department, GMRIT, Raiam, A.P., India
² CSE Department, AITAM, Tekkali, A.P., India

^* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

Battery management systems (BMS) are important feature and is compulsory unit for all battery-powered systems. It was known that that battery management system (BMS) has various strategies like centralized, distributed, and mixed architectures. The BMS is important to understand their working nature, performance, safety and effectiveness at various environmental conditions. This article is focused on essential operations of BMS like precise state of charge (SOC) and state of health (SOH) estimation, fault detection and battery balancing. For better understanding, it is important to compare control strategies interms of complexity, cost and scalability. Emerging technologies like IoT, cloud computing, machine learning, and artificial intelligence will help in improving BMS, so that the data can be shared and monitor batteries in real time. With this the life of battery can be predictable, faults can be detected, and safety and performance can be improved. This work highlights the importance of BMS in securing the safety, efficiency and to extend the battery life.