Intelligent battery management system for runtime optimization of an electric car

Author

Kumar, Ajit ; Jangid, S. ; Patiyat, I. ; Roychowdhury, Jaijeet

Author_Institution

Embedded Syst. Lab., CMERI, Durgapur, India

fYear

2013

fDate

21-22 Feb. 2013

Firstpage

1192

Lastpage

1196

Abstract

The operation of any battery-powered system is often limited by the support-time from battery. Hence, an optimized use of available energy content of battery is required in real-time scenario. In this paper, a methodology for maximizing the run-time of a battery driven car by varying the speed of the motor according to the available energy content of the battery has been presented. The battery model with less complexity is used for accurately estimating and tracking the state of charge of the battery. This has been investigated using a battery powered small car in the laboratory consisting of DC motor and lead-acid battery is used. The model and proposed algorithm are found to be computationally efficient for design and real time implementation of energy aware battery-powered systems.

Keywords

DC motors; battery management systems; battery powered vehicles; lead acid batteries; optimisation; DC motor; electric car; energy aware battery-powered systems; intelligent battery management system; lead- acid battery; motor speed varying; runtime optimization; Batteries; Discharges (electric); Integrated circuit modeling; Mathematical model; Microcontrollers; Prediction algorithms; Voltage measurement; Electric Vehicle; Kinetic Battery Model; Real-time systems; Recovery Effect; State of Charge;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Communication and Embedded Systems (ICICES), 2013 International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4673-5786-9

Type

conf

DOI

10.1109/ICICES.2013.6508294

Filename

6508294