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Journals / An International Journal of Optimization and Control: Theories & Applications (IJOCTA) / 2021 / Cilt: 11 - Sayı: 1

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

Kemal KESKİN
Burak URAZEL
Pages
30–40
Publication Date
2022-10-11
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It is shown that the proposed method delivers better and robust performance to prolong battery lifespan.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this manuscript, fuzzy logic energy management strategy for dual storage system including supercapacitors and battery is proposed in order to prolong battery lifespan and enhance the range of electric drive vehicle (EDV).
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Key Findings & Data:Obtained results are compared to two other strategies; one of them is battery only system and the other one is dual stor age system managed by logic threshold method.
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Conclusion & Impact:It is shown that the proposed method delivers better and robust performance to prolong battery lifespan.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this manuscript, fuzzy logic energy management strategy for dual storage system including 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 su percapacitors. An output, which refers to split ratio between supercapacitors and battery power, is determined. Fuzzy rules are constituted in order to de crease 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 per formance 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 stor age system managed by logic threshold method. It is shown that the proposed method delivers better and robust performance to prolong battery lifespan.

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Cite This Article

KESKİN, K., URAZEL, B. (2022). Fuzzy control of dual storage system of an electric drive vehicle considering battery degradation. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), Cilt: 11 - Sayı: 1, 30–40. https://ajindex.com/articles/440544

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References (2)

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