Development of Efficient Energy Management Strategy to Mitigate Speed and Torque Ripples in SR Motor Through Adaptive Supervisory Self-Learning Technique for Electric Vehicles
Author:
Affiliation:
1. School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India
2. Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough, U.K
Funder
Royal Academy of Engineering
Open Access funding from Engineering and Physical Sciences Research Council (EPSRC) Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10239135.pdf?arnumber=10239135
Reference25 articles.
1. Torque Ripple Minimization of a Switched Reluctance Motor using a Torque Sharing Function based on the Overlap Control Technique
2. Predictive Direct Torque Control of Switched Reluctance Motor for Electric Vehicles Drives
3. A Novel Energy Management Strategy for Plug-in Hybrid Electric Buses Based on Model Predictive Control and Estimation of Distribution Algorithm
4. Numerical Estimation of Switched Reluctance Motor Excitation Parameters Based on a Simplified Structure Average Torque Control Strategy for Electric Vehicles
5. An enhanced direct instantaneous torque control of switched reluctance motor drives using ant colony optimization
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