Fuzzy control of dual storage system of an electric drive vehicle considering battery degradation

• Main Authors: Kemal Keskin, Burak Urazel
• Format: Article
• Language: English
• Published: Balikesir University 2020-12-01
• Series: An International Journal of Optimization and Control: Theories & Applications
• Subjects: Fuzzy control; electric vehicle; dual storage system; energy management
• Online Access: http://www.ijocta.org/index.php/files/article/view/848

In this manuscript, fuzzy logic energy management strategy for dual storage system inclu\-ding supercapacitors and battery is proposed in order to prolong battery lifespan and enhance the range of electric drive vehicle (EDV). First an EDV model and three drive cycles (NEDC, UDDS, and NREL) are established in Matlab/Simulink. Then a fuzzy inference system is designed considering three inputs: power demand, state of charge (SOC) of battery and SOC of supercapacitors. An output, which refers to split ratio between supercapacitors and battery power, is determined. Fuzzy rules are constituted in order to decrease not only high level battery current but also number of charge/discharge cycle of battery which are the main factors of battery deterioration. For a performance verification of the proposed method, three drive cycles with different characteristics are considered. Obtained results are compared to two other strategies; one of them is battery only system and the other one is dual storage system managed by logic threshold method. It is shown that the proposed method delivers better and robust performance to prolong battery lifespan.