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@article{178788,
        author = {Nidhi Ambekar and Srushti Khachane and Srushti Kharche},
        title = {FUZZY LOGIC BASED INTELLIGENT ENERGY MANAGEMENT SYSTEM FOR MOBILE ROBOT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {4953-4959},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178788},
        abstract = {This project presents an intelligent energy management system for mobile robots based on fuzzy logic to improve energy efficiency and operational reliability. The system keeps track of the important parameters like battery charge level, power requirement, and solar energy availability at all times to make real-time decisions regarding energy consumption. By using fuzzy logic, it manages uncertain and variable inputs effectively, allowing seamless switching between power sources such as solar and battery. The main building blocks consist of an ESP32 microcontroller, solar input through MPPT, DHT11 temperature sensor, and voltage and current sensors. Live data are shown on an LCD and at the same time uploaded to ThingSpeak for cloud monitoring and analysis. The smart controller gives priority to vital loads and saves energy under low power conditions. This approach stretches battery life, minimizes energy wastage, and is suitable for standalone systems in dynamic conditions. The fuzzy logic's flexibility and versatility allow the system to scale to use in renewable energy, robotics, and smart devices.},
        keywords = {FUZZY LOGIC, ESP32, DHT11, LCD, MPPT, ENERGY MANAGEMENT},
        month = {May},
        }