The Algorithm of Dynamic Battery SOC Based on Mamdani Fuzzy Reasoning

Author

Han, Shuang-shuang ; Chen, Wan-zhong

Author_Institution

Dept. of Commun. Eng., Jilin Univ., Changchun

Volume

1

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

439

Lastpage

443

Abstract

The measurement of dynamic battery spare capacity (SOC), has an important impact on the energy management system of hybrid electric vehicles. In this paper, a fuzzy forecast algorithm against the forecast of dynamic battery SOC was proposed. According to the minimum-maximum-Barycenter method of Mamdani fuzzy reasoning, the forecast model of vehicle dynamic battery SOC based on fuzzy forecast algorithm was established, the forecast of the battery SOC could be achieved using the present voltage and current data of battery, simulation and practical test showed that the forecast error was less than 5%, it could meet the control requirements of electric vehicle and hybrid electric vehicles and had a wide range of applications.

Keywords

energy management systems; forecasting theory; fuzzy reasoning; hybrid electric vehicles; Mamdani fuzzy reasoning; dynamic battery SOC; energy management system; fuzzy forecast algorithm; hybrid electric vehicles; minimum-maximum-Barycenter method; spare capacity; Battery charge measurement; Electric variables measurement; Energy management; Energy measurement; Fuzzy control; Fuzzy reasoning; Heuristic algorithms; Hybrid electric vehicles; Predictive models; Vehicle dynamics; Fuzzy forecast; Mamdani reasoning; SOC; hybrid electric vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on

Conference_Location

Shandong

Print_ISBN

978-0-7695-3305-6

Type

conf

DOI

10.1109/FSKD.2008.166

Filename

4666016