Implementation of artificial intelligence techniques in electric vehicles for battery management system
K Sudhapriya, S. Jaisiva
Abstract
Abstract The hybrid AI-based battery management system (HAI-BMS) is proposed to solve the complex problem of electric vehicle (EV) battery management. It combines conventional manipulation processes with system-gaining knowledge of neural networks and reinforcement learning algorithms. This simulation showcases the capability of AI-based BMS to transform electric-powered transportation by demonstrating substantial improvements to battery performance, lifespan, and average vehicle efficiency. By incorporating AI techniques into the BMSs of electric automobiles, the HAI-BMS is paving the manner for future transportation options that are sensible, bendy, and eco-friendly.
Topics & Concepts
Reinforcement learningBattery (electricity)Computer scienceArtificial neural networkElectric vehicleManagement systemAutomotive engineeringArtificial intelligenceControl engineeringEngineeringOperations managementQuantum mechanicsPhysicsPower (physics)Advanced Battery Technologies ResearchElectric Vehicles and InfrastructureElectric and Hybrid Vehicle Technologies