Abstract:
Plugin hybrid electric vehicles (PHEVs) appear an appropriate choice as they
offer an extended driving range and an improved fuel economy performance
in comparison to conventional pure electric vehicles. Its fuel performance
firmly depends on the energy management algorithm. This study proposes
an integrated charging mechanism which enhances the overall performance
of energy sources in plugin hybrid electric vehicles. The hybrid energy stor age system (HESS) used in this work comprises battery packs as the main
energy source, supercapacitor and fuelcell packs as auxiliary sources, each of
them coupled to the DC bus through DC-DC converters. Similarly, in the
integrated charging approach, a unidirectional buck DC-DC converter has
been allocated for controlling the state of charge of the battery. This brief
investigates the design of an efficient, adaptive, and fast converging nonlinear
control scheme termed as an adaptive integral backstepping controller with
adaptive laws for plugin hybrid electric vehicles involving HESS. A genetic
algorithm is used for tuning the controller parameters. The primary goal of
the proposed controller is to adapt slowly varying parameters of the system,
get efficient tracking performance of the battery, supercapacitor, and fuelcell
currents to their desired values, and to attain stable regulation of DC bus
voltage. The asymptotic stability of the HESS is confirmed by employing the
Lyapunov stability criteria. The performance and robustness of the proposed
control methodology has been verified by simulating on MATLAB/Simulink
environment and the results are then compared with a conventional backstepping and Lyapunov redesign nonlinear controllers. The validity of the
suggested framework is further endorsed by testing it on real-time controller
hardware in-loop experiments.
