A new approach for management of battery storage systems for mobile and stationary applications

Author

Kiani, Morgan ; Evans, Jacob

Author_Institution

Texas Christian Univ., Fort Worth, TX, USA

fYear

2015

fDate

14-17 June 2015

Firstpage

1

Lastpage

5

Abstract

An accurate assessment of the temperature distribution on the surface of the battery can be instrumental in prediction of the health and remaining lifetime in the battery/battery storage unit. Close monitoring of operational conditions and health can lead to significant saving in the overall cost and reliability of the targeted application. In this paper a new method for estimation of an effective temperature for online computation of the state-of-charge (SOC) in Li-ion batteries have been introduced. This method is based on the surface temperature distribution of the battery.

Keywords

battery management systems; secondary cells; temperature distribution; Li-ion battery SOC online computation; Li-ion battery state-of-charge; battery storage system management; battery storage unit; battery surface temperature distribution assessment; health prediction; mobile applications; remaining lifetime prediction; stationary applications; Batteries; Battery charge measurement; Chemicals; Reliability; Silicon; System-on-chip; Li-ion battery; monitoring; state of charge; temperature;

fLanguage

English

Publisher

ieee

Conference_Titel

Transportation Electrification Conference and Expo (ITEC), 2015 IEEE

Conference_Location

Dearborn, MI

Type

conf

DOI

10.1109/ITEC.2015.7165775

Filename

7165775