Adaptive controller for tracking power profile in a fuel cell powered automobile

Control System Design of Power Tracking for PEM Fuel Cell Automotive Application

“…. As the original model consists of a large number of coupled nonlinear differential and algebraic equations, it poses serious difficulties for simulation and controller design . The oxygen excess ratio constrained strategy is developed to avoid oxygen starvation during load transients.…”

“…This section introduces the controller design of the oxygen excess ratio constrained strategy, oxygen excess ratio invariant strategy, and mixed-sensitivity strategy, which are based on the linearization and reduction of the non-linear dynamic model in Section 2. As the original model consists of a large number of coupled nonlinear differential and algebraic equations, it poses serious difficulties for simulation and controller design [24]. The oxygen excess ratio constrained strategy is developed to avoid oxygen starvation during load transients.…”

Controller Design in a Fuel-Cell Powered Automobile

“…Both water content and mass flow were assumed to be uniform over the surface of the membrane. However, this model developed by Pukrushpan [2003] consists of a large number of coupled, nonlinear differential and algebraic equations (DAE) and adaptive control theory cannot be applied directly to this system.After suitable substitution of variables, we obtained a reduced model of the fuel cell system that is a set of nine ordinary differential equations and is suitable for controller design and analysis [Kolavennu et al, 2008]. In this model, it is assumed that all the cells in the stack perform similarly, i.e., by analyzing the polarization curve of a single cell, the stack performance can be estimated.…”

“…Power produced by the fuel cell is dependent on the voltage current characteristics. The transient response data from the nonlinear model presented in [Kolavennu et al, 2008] was generated by subjecting the nonlinear system to a series of step inputs in the current around the 100 Amperes operating point. Utilizing this input output data from the nonlinear model system identification techniques were employed to derive a linear second order model was fit between the current demand and the voltage produced by the fuel cell stack.…”

“…The transfer function G p is given below G p = −390.78 s 2 + 27.291s + 2068.8 (15) This transfer function is used in this paper to design an adaptive controller to regulate the power output of the fuel cell to the power demand. This adaptive controller is then implemented on the nonlinear model described in [Kolavennu et al, 2008]. The control problem is to track the power demand of the motor using current as the manipulated variable.…”