Introduction
This project aims to develop an intelligent charging system for electric vehicle (EV) batteries that optimizes the charging process by monitoring battery health, state-of-charge, and grid conditions. Intelligent charging integrates data communication between the vehicle, charger, and the grid to ensure efficient, safe, and cost-effective charging. Features include dynamic load management, user preferences integration, and support for smart grid functionalities such as vehicle-to-grid (V2G), helping to balance demand and supply and extend battery lifespan.
Objectives
- To design an intelligent EV battery charging system that adjusts charging parameters dynamically.
- To incorporate real-time monitoring of battery status and grid conditions.
- To enable communication between EV, charger, and utility for optimized charging schedules.
- To enhance battery life, reduce charging time, and support smart grid services.
Methodologies
- Development of hardware and software integration for battery monitoring and data communication.
- Implementation of adaptive charging algorithms based on battery chemistry and grid signals.
- Simulation of charging profiles and control strategies using MATLAB/Simulink or equivalent.
- Prototype development for real-world testing under varying operating conditions.
- Integration with smart grid platforms to support V2G and demand response features.
Expected Outcomes
- A highly efficient and adaptive charging system improving battery health and performance.
- Reduced energy costs through optimized charging based on grid conditions and tariff variations.
- Enhanced user experience with automated and customizable charging schedules.
- Contribution to grid stability through smart charging and bidirectional energy flow.
Applications
- Residential and commercial EV charging stations with smart functionalities.
- Fleet management systems for intelligent charging coordination.
- Renewable energy integrated EV charging infrastructure.
- Support for grid ancillary services like frequency regulation and peak shaving.
