Neural Sliding Mode Control of a Buck-Boost Converter Applied to a Regenerative Braking System for Electric Vehicles

Neural Sliding Mode Control of a Buck-Boost Converter Applied to a Regenerative Braking System for Electric Vehicles

This paper presents the design and simulation of a neural sliding mode controller (NSMC) for a regenerative braking system in an electric vehicle (EV). The NSMC regulates the required current and voltage of the bidirectional DC-DC buck–boost converter, an element of the auxiliary energy system (AES)...

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Bibliographic Details
Main Authors: Jose A. Ruz-Hernandez, Ramon Garcia-Hernandez, Mario Antonio Ruz Canul, Juan F. Guerra, Jose-Luis Rullan-Lara, Jaime R. Vior-Franco
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:World Electric Vehicle Journal
Subjects:
electric vehicles
regenerative braking
neural sliding mode control
Kalman filter
bidirectional DC-DC buck–boost converter
recurrent high-order neural networks
Online Access:https://www.mdpi.com/2032-6653/15/2/48

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https://www.mdpi.com/2032-6653/15/2/48

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