Paper Title
IMPROVEMENT OF BATTERY POWER STORAGE OF REGENERATIVE BREAKING IN DYNAMIC ELECTRIC BIKE USING FUZZY LOGIC ALGORITHM
Article Identifiers
: Keywords
Electrical Vehicles (EV), Resistant load, Induction Motor, Fuzzy Logic Controller.
Abstract
Automatic control of Electric Vehicles (EVs) is crucial due to the presence of system parameters contingency and huge variations of resistant load. On the other hand, human drivers, without any knowledge of vehicle dynamic model and control, can properly deal with these challenges thanks to the experiences acquired through training & practice. As a result, human expertise-based intelligent controllers are of interest for EVs, in which fuzzy logic controller (FLC) is an insisting candidate considering its model-free essence with soft-computing techniques offering flexibility and robustness to the control system. This chapter introduces a FLC for speed control of AC electrical motors including induction motor (IM) and interior permanent magnet (IPM) synchronous motor in EVs applications. The FLC membership functions and rules are designed with value normalization that allows the controller able to be flexible when applied to a wide range of speed control applications. The proposed fuzzy logic controller (FLC) is numerically validated via an EV model with system parameters based on a practical off-road vehicle platform of our laboratory. Critical testing scenarios are employed along with vehicle mass variations and rolling resistance force due to different load carrying and road conditions. The results reveal that, regardless of these uncertainty and load fluctuations, the speed error is kept within a bound of 2.5% comparing to the nominal speed of 40 km/h. The merit and flexibility of the proposed FLC has been discussed in comparison with the traditional.
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How To Cite (APA)
Mr. Ritesh Ratnakar Ijmulwar & Mrs. Heena S. Sheikh (August-2024). IMPROVEMENT OF BATTERY POWER STORAGE OF REGENERATIVE BREAKING IN DYNAMIC ELECTRIC BIKE USING FUZZY LOGIC ALGORITHM. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(8), d144-d153. https://ijnrd.org/papers/IJNRD2408318.pdf
Issue
Volume 9 Issue 8, August-2024
Pages : d144-d153
Other Publication Details
Paper Reg. ID: IJNRD_226943
Published Paper Id: IJNRD2408318
Downloads: 000122253
Research Area: Engineering
Author Type: Indian Author
Country: Chandrapur, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2408318.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2408318
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