Approximation-Based Adaptive Control of Constrained Uncertain Thermal Management Systems With Nonlinear Coolant Circuit Dynamics of PEMFCs

Abstract

This paper addresses an adaptive temperature control problem for preventing the membrane dehydration and electrode flooding of nonlinear proton exchange membrane fuel cells (PEMFCs). Compared with the previous thermal control results of PEMFC temperature systems, the main contributions of this paper are two-fold: (i) nonlinear thermal management systems with nonlinear coolant circuit dynamics are firstly adopted in the temperature control field of PEMFCs and (ii) temperature constraints are considered to avoid the membrane dehydration and electrode flooding phenomena of PEMFCs. It is assumed that all system parameters and nonlinearities of thermal management systems including nonlinear coolant circuit dynamic are unknown. A recursive control design methodology is presented to guarantee the robust regulation and constraint satisfaction of the stack temperature. From the Lyapunov theorem, the stability of the resulting closed-loop system is analyzed.INDEX TERMS Thermal management systems, nonlinear coolant circuit dynamics, temperature constraints, adaptive control, proton exchange membrane fuel cells (PEMFCs).

Dynamic Programming for Thermal Management of Automotive Fuel Cell Systems: Investigating Hydrogen Saving Potential

“…Many of the control strategies for thermal management of fuel cell systems described in the literature are of reactive type [13], [14], [15], [16]. They are primarily concerned with the operational stack temperature without taking into account the efficiency of the auxiliary systems in the thermal loop.…”

“…The cost function J to be minimized includes the hydrogen consumption in the overall driving mission from the initial time instant t 0 up to the final time instant t end . Concerning stack constraints in (15), the value of stack temperature over time as evaluated using ( 12) is prevented to exceed the operational limit T stack−lim which is assumed being 95 • C here. The net power provided by the fuel cell system as evaluated using ( 13) needs to never be lower than the corresponding power request coming from the FCEV supervisory control logic.…”

“…ṁH2 P stack−gross (t) , state fan (t) , ṁcoolant (t) , t] dt}(14) Subject to :Fuel cell stack constraints:T stack (t) ≤ T stack−lim(15) P system−net (t) ≥ P system−request (t) Radiator fan constraint:state fan [(t, speed veh (t) = 0)] = 0…”

Temperature Control of Fuel Cell Based on PEI-DDPG

“…Several scholars have proposed diverse methods to enhance the temperature control of fuel cells. Traditional control algorithms comprise proportional-integral control [7], feedback control [8], piecewise predictive negative feedback control [9], and adaptive linear quadratic regulator feedback control [10]. Nevertheless, owing to the intrinsic nonlinearity of PEMFC, these control algorithms exhibit limitations.…”