Information-Driven Model Predictive Control With Adaptive Partitioning for Energy Optimization in Automated Electric Vehicles

Information-Driven Model Predictive Control With Adaptive Partitioning for Energy Optimization in Automated Electric Vehicles

This paper presents a methodology to optimize energy consumption in electric vehicles (EVs) using a Model Predictive Control (MPC) framework integrated with detailed power loss models. Minimizing energy usage during drive cycles is a complex problem due to the nonlinear and non-convex characteristic...

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Bibliographic Details
Main Authors: Shahriar Shahram, Yaser P. Fallah
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Intelligent Transportation Systems
Subjects:
Electric vehicles
energy optimization
model predictive control
adaptive partitioning
advanced driver-assistance systems
vehicle-to-vehicle communication
Online Access:https://ieeexplore.ieee.org/document/11017725/
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https://ieeexplore.ieee.org/document/11017725/

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