Multi Objective Maximum Efficiency Self Regulating Controllers for Hybrid PV-FC-Diesel-Battery Electric Vehicle Drive System

Abstract

The paper presents a number of online error driven control strategies for a hybrid PV-FC-Diesel-Battery powered all-wheel drive Electric Vehicle (EV). The proposed regulation schemes developed by the First Author include Proportional plus Integral plus Derivative modified control strategies and a dynamic variable structure sliding mode control scheme. All proposed control schemes are dynamically self regulated using soft computing Particle Swarm Optimization PSO and Genetic Algorithm GA random search techniques. The PSO and GA search and optimization techniques ensure control gains dynamical adjusting and online tuning under all operating conditions and electric vehicle nonlinearities. The Proposed tri loop dynamic error driven self tuned  controllers are also used to ensure energy efficiency, control loop decoupling, stability and system efficient utilization while maintaining full speed tracking capability. The integrated scheme is fully stabilized using a novel FACTS based green filter compensator that ensures stabilized DC bus voltage, minimal inrush current conditions, and damped load excursions.

Keywords

• Diesel-driven generator, Photo Voltaic PV, Fuel Cell, Backup Battery, Green Power Filter, PMDC Drives, E-V Electric Vehicles, Multi Objective Optimization MOO, Particle Swarm Optimization PSO and Genetic Algorithm GA.