Evaluation of Electric Vehicle Performance Characteristics for Adaptive Supervisory Self-Learning-Based SR Motor Energy Management Controller under Real-Time Driving Conditions
The performance of an electric vehicle (EV) notably depends on an energy management controller. This study developed several energy management controllers (EMCs) to optimize the efficiency of EVs in real-time driving conditions. Also, this study employed an innovative methodology to create EMCs, eff...
Main Authors: | Pemmareddy Saiteja, Bragadeshwaran Ashok, Dharmik Upadhyay |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-03-01
|
Series: | Vehicles |
Subjects: | |
Online Access: | https://www.mdpi.com/2624-8921/6/1/23 |
Similar Items
-
Assessment of Adaptive Self-Learning-Based BLDC Motor Energy Management Controller in Electric Vehicles Under Real-World Driving Conditions for Performance Characteristics
by: Pemmareddy Saiteja, et al.
Published: (2024-01-01) -
Development of Efficient Energy Management Strategy to Mitigate Speed and Torque Ripples in SR Motor Through Adaptive Supervisory Self-Learning Technique for Electric Vehicles
by: Pemmareddy Saiteja, et al.
Published: (2023-01-01) -
Novel Improved Adaptive Neuro-Fuzzy Control of Inverter and Supervisory Energy Management System of a Microgrid
by: Tariq Kamal, et al.
Published: (2020-09-01) -
Operator Scheduling Strategies in Supervisory Control of Multiple UAVs
by: Cummings, M. L., et al.
Published: (2014) -
Safe Performance of an Industrial Autonomous Ground Vehicle in the Supervisory Control Framework
by: Fotis N. Koumboulis, et al.
Published: (2023-12-01)