Abstract
In this paper, Adaptive Model Predictive Control (AMPC) based Energy Management Strategy (EMS) for Hybrid Electric Vehicles (HEVs) is proposed to minimize the hydrogen consumption and to increase the energy sources lifetime. The EMS problem is simplified according to the control structure of the vehicle. Moreover, adaptive algorithm is used to dynamically adjust the weights of targets. The Energetic Macroscopic Representation(EMR) and control scheme of the vehicle is implemented in MATLAB-Simulink™. To test the performance two standard driving cycles and a real urban cycle are used. The simulation results of proposed AMPC show a noticeable improvement in fuel economy and battery charge-sustainability.
Keywords
Energy management
Driving cycle
Battery (electricity)
Electric vehicle
Computer science
Automotive engineering
MATLAB
Model predictive control
Control (management)
State of charge
Energy consumption
Energy (signal processing)
Scheme (mathematics)
Control engineering
Engineering
Artificial intelligence
Electrical engineering
Subject Areas
Electric and Hybrid Vehicle Technologies
·Automotive Engineering ·Physical Sciences
Advanced Battery Technologies Research
·Automotive Engineering ·Physical Sciences
Electric Vehicles and Infrastructure
·Electrical and Electronic Engineering ·Physical Sciences
Citations by Year
2020: 1
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