Abstract
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.
Highlights
Environmental concerns, which ensued from greenhouse gas emissions and global warming, and energy conservation are two important topics which have attracted increasing attention from researchers over the past few decades
Supercapacitors are convenient for applications which ensure high-power in order to expedite the vehicle or recover possible energy along braking mode [3,6]
The vehicle parameters and the specifications of the dual storage system are given in Table 4, Table 5, and Table 6 respectively
Summary
Environmental concerns, which ensued from greenhouse gas emissions and global warming, and energy conservation are two important topics which have attracted increasing attention from researchers over the past few decades. Fuzzy control of dual storage system of an electric drive vehicle considering battery degradation storage system conducts battery and supercapacitor in a parallel manner It has advantage of combining functionality of both energy sources at the same time. In order to optimize SOC values and battery life of hybrid energy storage system, Shen and Khaligh formulated a multiobjective optimization problem They used dynamic programming method to solve optimization problem and fuzzy logic approach for comparison of test results [17]. Stability and quality of distribution network are critical for power grids In this sense, fuzzy logic controller was applied to energy management system in order to keep battery SOC values in secure limits [18] and to minimize grid power variation [19,20]. A fuzzy controller is designed which is appropriate to assemble with electric drive vehicle model in Matlab
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