Nonlinear control and optimization of hybrid electrical vehicle under sources limitation constraints

Abstract

This work presents a new contribution on energy management of hybrid electric systems for vehicle applications. The studied hybrid electrical vehicle is composed of fuel cell as a main source and the auxiliary system containing the battery and supercapacitor. A programmable load is used to emulate a vehicle load profile. Two methods are combined to smartly and optimally control the energy flow between the used sources. These methods are the Interconnection and Damping Assignment Passivity Based Control (IDA-PBC) and the Hamilton-Jacobi Bellman (HJB) optimization. The source limitation is considered here in terms of the battery state of charge. The experimental works validate the efficiency of the proposed control where the obtained results demonstrate that the used strategy allows regulating the power flow under a realistic load drive profile. The global stability proof is demonstrated using Lyapunov theory. Keywords-energy management; hybrid system; passivity based control; constraints; Hamilton-Jacobi Bellman method. Parameters Definition ̅ FC current at equilibrium ̅ 1 FC controller at equilibrium ̅ 2 SC controller at equilibrium ̅ 3 Battery controller at equilibrium DC bus capacitance SC capacitance f.e.m load Battery inductance DC bus inductance FC inductance load inductance SC inductance Battery power FC power SC power Load power resistance of load Battery voltage Load voltage FC voltage Load voltage SC voltage reference Desired DC bus voltage f.e.m battery Battery current DC bus current

Implementation of Adaptive Neuro Fuzzy Controller for Fuel Cell Based Electric Vehicles

“…Then the overall block diagram to simulate the electric vehicle is depicted in Figure 3. It comprises of a fuel cell battery to supply the power using DC-DC converter and inverter and the electric motor is connected to EV [41][42][43][44][45]. The Figure 4 describes the speed control brushless DC motor using the adaptive neuro fuzzy interface system, Fuzzy PID and PI Controller.…”

Combined passivity based control and optimal control for energy management of fuel cell/battery hybrid system

“…It is a question to find of optimal manner the battery and fuel cell currents tanking into account the battery and hydrogen state of charges according to the load demand. The optimal control problems in FC/Battery vehicle consist mainly: how to get to your destination as quickly as possible, how to minimize hydrogen consumption in cars, how to minimize stress in batteries according to its state of charge (). In order to guarantee the good operation and autonomy of the hybrid electric car, it is necessary to optimize the operation of embedded sources ().…”

Fuel efficiency optimization Techniques in Hybrid Vehicle

“…The optimization effect of IQGA was also compared with conventional genetic algorithm, quantum genetic algorithm and found its supremacy. A new energy management strategy for HEV having fuel cell for supplying main requirements and auxiliary system having battery and super-capacitor was proposed in [34]. The Interconnection and Damping Assignment Passivity Based Control (IDA-PBC) and Hamilton-Jacobi Bellman (HJB) methods were combined for optimal flow of energy between the source.…”