Model-Free DC Bus Voltage and Energy Management Control for Fuel Cell Hybrid Electric Vehicle

Abstract

In this paper, a model-free DC bus voltage control and energy management strategy are designed for fuel cell hybrid electric vehicle. First, the fuel cell hybrid power system which is composed of fuel cell, battery and supercapacitor is described, and the ultra-local model is constructed based on the input and the output of the system. Then, the model-free continuous fast terminal sliding mode control method is proposed and adopted to design the DC bus voltage controller and sources current controller, and the high-order fast terminal sliding mode observer is designed to estimate the unknown terms of the ultra-local model. Finally, a novel state-based energy management strategy which is composed of cruise state, low power state and charge power state is developed to provide efficient power distribution between different power sources. To verify the performance of the controller, simulations have been done on MATLAB/Simulink, which show that the proposed control strategy ensures good performance and a finite time stability which simultaneously meets all the control objectives.

ANN Optimized Hybrid Energy Management Control System for Electric Vehicles

“…The actual DC voltage at the DC-link is compared with the reference voltage (V dc-reference ) and then the error voltage is fed to the energy management system. This involves the usage of the Artificial Neural Network (ANN) for controlling the static and dynamic response of the bi-directional converters for continuous power flow to the electric vehicles (Wang et al, 2021). Two energy storage devices named battery and UC have been used which are connected to the inverter which converts the DC energy into three-phase AC energy.…”