JOURNAL ARTICLE

Supervisory control of Plug-in Hybrid Electric Vehicle with hybrid dynamical system

Abstract

In this paper, a supervisory control of Plug-in Hybrid Electric Vehicles (PHEVs) using hybrid dynamical systems theory is presented. In hybrid dynamical systems, the state trajectories are described by both differential equations and discrete transitions. A PHEV has different operating modes which are modelled in the hybrid dynamical systems framework, simulated and analyzed. Furthermore, a constrained optimization problem to minimize energy used by PHEV is formulated. Finally, dynamic programming is used to minimize energy consumption. The obtained results are studied to evaluate the performance of supervisory control and hybrid dynamical system.

Keywords:
Hybrid system Control theory (sociology) Dynamical systems theory Hybrid vehicle Dynamic programming Supervisory control Dynamical system (definition) Plug-in Optimal control Electric vehicle Control engineering Vehicle dynamics Computer science Energy consumption Control (management) Engineering Mathematical optimization Automotive engineering Mathematics Physics Algorithm Power (physics) Artificial intelligence Electrical engineering

Metrics

6
Cited By
0.43
FWCI (Field Weighted Citation Impact)
14
Refs
0.68
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Electric and Hybrid Vehicle Technologies
Physical Sciences →  Engineering →  Automotive Engineering
Electric Vehicles and Infrastructure
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Battery Technologies Research
Physical Sciences →  Engineering →  Automotive Engineering
© 2026 ScienceGate Book Chapters — All rights reserved.