Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles

10Intelligent Hybrid Battery Management System for Electric Vehicle

Rajalakshmi, M. and Razia Sultana, W.*

School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

Abstract

As the green movement increases in popularity, more and more Electric Vehicles (EVs) of all kinds from electric bicycles, bikes, cars, buses to trains grace the mode of transportation. Energy management in these vehicles is highly sensitive for upcoming design of the EVs and advancement in cheap sensing and computation will be challenged to provide better efficiency systems that can be adapted to a wide variety of different types of batteries and vehicles with vastly diverse performance requirements. Multi-battery systems that combine a standard battery with Ultracapacitors (UC) are currently one of the most promising ways to increase battery lifespan and reduce operating costs. However, their performance crucially depends on how they are designed and operated. This performance implies improved battery thermal stability, efficiency, and endurance. In this chapter, the problem of optimizing real-time energy management of hybrid battery systems is discussed.

Keywords: Intelligent battery management system, hybrid energy storage system, electric vehicle, lithium-ion battery, ultracapacitor

10.1 Introduction

Electric vehicles, partially or fully powered by batteries, are one of the most promising directions towards a more sustainable transportation system. However, the high ...