Adaptive Neuro-Fuzzy Inference Systems (ANFIS) control strategies outperform conventional Proportional-Integral (PI) controllers by providing better response time, adaptability, and energy efficiency for battery management in electric vehicles.
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.
G et al. (2026) studied Battery-powered systems including plug-in electric vehicles and renewable energy storage systems requiring battery management for safety and efficiency. Advanced Battery Management Controllers including Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Fuzzy Logic Controllers (FLC) vs. Conventional Proportional-Integral (PI) Controllers was evaluated on Performance efficiency of battery management control systems measured by response time, adaptability, energy efficiency, and fault tolerance. Adaptive Neuro-Fuzzy Inference Systems (ANFIS) control strategies outperform conventional Proportional-Integral (PI) controllers by providing better response time, adaptability, and energy efficiency for battery management in electric vehicles.