Application of Adaptive Neuro-Fuzzy Inference Rule-based Controller in Hybrid Electric Vehicles
- PDF / 2,196,453 Bytes
- 9 Pages / 595.276 x 790.866 pts Page_size
- 33 Downloads / 158 Views
ORIGINAL ARTICLE
Application of Adaptive Neuro‑Fuzzy Inference Rule‑based Controller in Hybrid Electric Vehicles Ruksana Begam Shaik1 · Ezhil Vignesh Kannappan1 Received: 18 March 2020 / Revised: 3 May 2020 / Accepted: 15 May 2020 © The Korean Institute of Electrical Engineers 2020
Abstract Designing of hybrid architecture has greater importance in the development of electric vehicles to enhance the life cycle of the battery, to protect from nonlinearities and uncertainties of electrical energy storage systems. The objective of this paper is to design and apply the Adaptive Neuro-Fuzzy Inference rule-based controller with the semi-empirical strategy to protect from nonlinearities, uncertainties, and to improve efficiency in electric vehicles. In this paper, a fully active Li-Ion battery/ Electric Double-Layer supercapacitor hybrid energy storage system used to decouple Li-Ion battery/Electric Double-Layer Supercapacitor from Direct Current bus and to generate Li-Ion battery current reference online semi-empirical rule-based energy management strategy used. The Control system is designed with the Adaptive Neuro-Fuzzy Interface rule-based controller to reduce non-linearity and different uncertainties of the energy storage system with two outputs battery current and DC bus voltage are chosen to measure control system design, which is tested under heavy and light load conditions. Results are validated using MATLAB/Simulink and the performance of the Adaptive Neuro-Fuzzy Interface rule-based controller is 16.96% and 9.81% greater than Robust Fractional Order Sliding Mode Controller under heavy and light load conditions. Keywords ANFIS rule-based controller · Mapping functions · Semi-empirical strategy · Premise parameters · Consequence parameters
1 Introduction 85% of the world’s global energy consumption is today met by fossil-based fuels [1, 2]. However, fossil fuels have finite and will run out shortly [3] and others [4]. Therefore, new alternative sources to be powered internal combustion engines are required because today transportation is nearly (
Data Loading...
