Title :
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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Shandong
Print_ISBN :
978-0-7695-3305-6
DOI :
10.1109/FSKD.2008.166
