Numerical Investigation on Fuzzy Logic Control Energy Management Strategy of Parallel Hybrid Electric Vehicle. (February 2019)

• Record Type: Journal Article
• Authors: Ma, Kunqi; Wang, Zaizhou; Liu, Hai; Yu, Hanzhengnan; Wei, Changyin
• Is Part Of: Energy procedia. Volume 158(2019)
• Page Start: 2643
• Page End: 2648
• Publication Date: 2019-02
• Subjects: Parallel HEV -- fuzzy logic control -- vehicle economy characteritics -- SOC -- simulation; Power resources -- Congresses; Power resources -- Periodicals; Power resources; Conference proceedings; Periodicals; 333.7905
• DOI: 10.1016/j.egypro.2019.02.016
• Languages: English
• ISSNs: 1876-6102

Abstract

Abstract: In order to further reduce fuel consumption, a double input and single output fuzzy logic controller has been established for the energy management of a parallel hybrid electric vehicle (HEV). In this paper, the fuel economy and battery state of charge( SOC ) of vehicles has been numerically investigated under both NEDC and WLTC driving cycles. Results showed that compared with the logic threshold control strategy, the fuel consumption under the NEDC and WLTC driving cycles are reduced by 13.3% and 4.5%, respectively, when the fuzzy logic control strategy was adopted. In addition, compared with the logic threshold control strategy, the fluctuation of SOC variation of the fuzzy logic control strategy is much smaller under both driving cycle, which has a positive effect on increasing the effectiveness of the battery discharge, maintaining stability the battery operating, and extending the battery life.