Hybrid Electric Vehicle Power Management Using Fuzzy Logic Controller

Evuri, Geetha Reddy and G, Srinivasa Rao and T, Ramasubba Reddy and K, Srinivasa Reddy (2018) Hybrid Electric Vehicle Power Management Using Fuzzy Logic Controller. International Journal of Pure and Applied Mathematics, 118 (5). pp. 137-146. ISSN 1314-3395

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Abstract

The article presents a hybrid electric vehicle (HEV) study using a simulation or a QSS (Quasi-static-simulation) approach and a controller for smooth logic energy management for HEV. The software used for HEV modeling and the controller for smooth logic power control is MATLAB /
Simulink. A comparative study was conducted to study the ability of a soft logic controller to be compared to a optimal optimized controller optimized by dynamic programming. It has been found that the soft register control indicator shows excellent performance, since the last HEV State of Charge (SOC) battery is within 2.8% of this dynamic programming. A comparative study was then performed after addition of a supercapacitor equipped with this HEV, with only battery power. Following the modified PMC (power management controller) logic to include additional supercapacitors, it was found that fuel consumption improved by 54.34% from 57.6 mpg to 88.9
mpg and total energy consumption reduced by 27.27%.

Item Type: Article
Subjects: B Electrical and Electronics Engineering > B2 Non-Conventional Energy Sources
B Electrical and Electronics Engineering > B3 Power Electronics
E Computer Science and Engineering > E3 Artificial Intelligence and Machine Learning
Departments: Electrical and Electronics Engineering
Depositing User: Mr Vishnu K
Date Deposited: 15 Mar 2024 04:32
Last Modified: 15 Mar 2024 04:32
URI: https://ir.vignanits.ac.in/id/eprint/467

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