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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Detalles Bibliográficos

Autores principales:	Shahriar Shahram, Yaser P. Fallah
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2025-01-01
Colección:	IEEE Open Journal of Intelligent Transportation Systems
Materias:	Electric vehicles energy optimization model predictive control adaptive partitioning advanced driver-assistance systems vehicle-to-vehicle communication
Acceso en línea:	https://ieeexplore.ieee.org/document/11017725/
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