Assessment of Adaptive Self-Learning-Based BLDC Motor Energy Management Controller in Electric Vehicles Under Real-World Driving Conditions for Performance Characteristics

Assessment of Adaptive Self-Learning-Based BLDC Motor Energy Management Controller in Electric Vehicles Under Real-World Driving Conditions for Performance Characteristics

The superior performance of an electric vehicles (EVs) is dependent on the related energy management controller (EMC). The current study devoted to develop various EMCs such PID, intelligent, hybrid and supervisory strategy to enhance the performance of EVs under real-time driving conditions. Also,...

Full description

Bibliographic Details
Main Authors: Pemmareddy Saiteja, Bragadeshwaran Ashok, Byron Mason, P. Suresh Kumar
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Electric vehicles
energy management controllers
adaptive supervisory self-learning strategy
real-time driving cycle
efficiency maps
Online Access:https://ieeexplore.ieee.org/document/10464307/

Internet

https://ieeexplore.ieee.org/document/10464307/

Similar Items