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@article{174497,
        author = {Priyanka S. Satav and Dr. P. V. Parathas},
        title = {Survey on PWM Controlled Universal Electric Vehicle Battery Charger},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {4810-4819},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174497},
        abstract = {The increasing adoption of Electric Vehicles (EVs) necessitates the development of efficient and universal battery charging solutions. Pulse Width Modulation (PWM)-controlled battery chargers ensure optimal energy transfer, reduce charging time, and enhance battery longevity. This literature review explores various MATLAB/Simulink-based simulation approaches for PWM-controlled universal EV chargers. The review examines control strategies such as Voltage Oriented Control (VOC), Sliding Mode Control (SMC), Artificial Neural Networks (ANN), and Fuzzy Logic Control (FLC), comparing their impact on charging efficiency and power quality. Key findings include the superiority of ANN-based PWM switching in achieving higher efficiency (94-96%), SMC’s advantage in stability and transient response, and FLC’s effectiveness in adaptive control. Additionally, the study highlights advancements in bidirectional charging, wireless power transfer (WPT), and hybrid energy storage integration for sustainable EV infrastructure. While MATLAB-based simulations validate theoretical efficiency improvements, the need for real-world experimental validation remains a critical challenge. Future research should focus on AI-driven optimization, renewable energy integration, and ultra-fast charging technologies to enhance EV charging sustainability. This review provides insights into the latest developments in PWM-controlled universal chargers, contributing to the advancement of intelligent power electronics for modern transportation systems.},
        keywords = {EV Charging, PWM Control, MATLAB Simulation, Universal Battery Charger, Artificial Neural Networks.},
        month = {April},
        }