| Special Session Ⅶ - Modeling and Optimal Control for Vehicle Energy and Powertrain Systems | |||
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Yunlong Wang Northeastern University, China |
Yan Liu Liaoning University of Technology, China |
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| Session Information: | |||
| With the ongoing electrification and intelligence trends in transportation, high-fidelity modeling and advanced optimal control of vehicle energy and powertrain systems have become essential for improving energy efficiency, extending component lifetime, and ensuring safe operation. This special session aims to bring together researchers and engineers to discuss state-of-the-art methods in physics-based and data-driven modeling, real-time state estimation, model predictive control, reinforcement learning, and integrated energy management of electrified vehicle powertrains and energy storage systems. Particular attention is given to the synergy between advanced algorithms and practical vehicle implementations under the carbon neutrality target. |
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| Below is an incomplete list of potential topics to be covered in the Track | |||
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