Optimal Torque Allocation for All-Wheel-Drive Electric Vehicles Using a Reinforcement Learning Algorithm-Reference-Cited by-同舟云学术

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Optimal Torque Allocation for All-Wheel-Drive Electric Vehicles Using a Reinforcement Learning Algorithm

Published:2024-06-11 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 13th Mediterranean Conference on Embedded Computing (MECO)
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Author:

Jafari Reza¹,Sarhadi Pouria¹,Paykani Amin²,Refaat Shady S.¹,Asef Pedram³

Affiliation:

1. University of Hertfordshire,School of Physics, Engineering and Computer Science,Hatfield,UK,AL10 9AB

2. Queen Mary University of London,School of Engineering and Materials Science,London,UK,E1 4NS

3. University College London,Advanced Propulsion Laboratory Department of Mechanical Engineering,London,UK,WC1E 6BT

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10577658/10577767/10577860.pdf?arnumber=10577860

Reference19 articles.

1. A Real-Time Nonlinear Model Predictive Controller for Yaw Motion Optimization of Distributed Drive Electric Vehicles

2. On the Energy Efficiency Potential of Multi-Actuated Electric Vehicles

3. Optimal gear ratio selection of linear primary permanent magnet vernier machines for wave energy applications

4. RHONN-Modeling-Based Predictive Safety Assessment and Torque Vectoring for Holistic Stabilization of Electrified Vehicles

5. A Real-Time NMPC Strategy for Electric Vehicle Stability Improvement Combining Torque Vectoring With Rear-Wheel Steering

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