Advanced thermal management of automotive fuel cells using a model reference adaptive control algorithm

Han, Jae‐Young; Yu, Sangseok; Yi, Sun

doi:10.1016/j.ijhydene.2016.10.134

Cited by 60 publications

(14 citation statements)

References 20 publications

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“…This is not reasonable for the stable operation of PEMFCs. Thus, it is assumed that the initial stack temperature y(0) satisfies the constraints (14). Property 1: For system ( 13), there exists an unknown positive constant φ 2 such that 0 < φ 2 ≤ φ 2 .…”

Section: B Constrained Temperature Control Problemmentioning

confidence: 99%

“…A linear-quadratic-regulator-based control scheme for the minimization of the parasitic power of automotive fuel cell cooling systems was introduced in [13]. In [14], a model reference adaptive control problem was investigated to deal with system uncertainties and to control the stack and coolant inlet temperature in PEMFCs. In [15], the modular thermal modelling and model predictive control methods of water-cooled PEMFC systems were presented.…”

Section: Introductionmentioning

confidence: 99%

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

Kim

Yoo

2020

IEEE Access

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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).

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Section: B Constrained Temperature Control Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Kim

Yoo

2020

IEEE Access

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“…Ref. [95] provided a reference adaptive control algorithm to achieve robust temperature regulation. As the temperature of the fuel cell stack can be adjusted by both the coolant flow and three-way valve fraction, the proposed strategy can potentially be further optimized.…”

Section: Temperature Controlmentioning

confidence: 99%

“…As the temperature of the fuel cell stack can be adjusted by both the coolant flow and three-way valve fraction, the proposed strategy can potentially be further optimized. Considering a thermal management system same as that proposed in [94,95], a PI and an LQR controller were designed and compared in [96]. Compared with the PI controller, the LQR controller delivered a better dynamic response with lower parasitic loss.…”

Section: Temperature Controlmentioning

confidence: 99%

Challenges and developments of automotive fuel cell hybrid power system and control

Gao

et al. 2019

Sci. China Inf. Sci.

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Fuel cells are emerging as promising power sources and have attracted increasing attention from industries and academics worldwide. In particular, automotive manufacturers are replacing internal combustion engines in vehicles with fuel cell systems, which are advantaged by zero emissions, high efficiency, and various clean routes that generate pure hydrogen. However, current fuel cell systems are costly, and their corresponding infrastructures are not fully qualified to meet current market demand. This paper reviews the challenges and developments of automotive fuel cell hybrid power systems and their controls. It briefly summarizes the model, control, and optimization issue associated with the research and application of fuel cells in hybrid power systems. After presenting the basic knowledge and discussing the trending size and structure of fuel cells for automotive usage, the review describes models of automotive fuel cell systems, focusing on the electrochemical reaction dynamics and the key parameters influencing their efficiency and lifetime. The control problems associated with automotive fuel cell systems as well as the optimization issue associated with hybrid energy systems (comprising fuel cells, batteries, and ultra-capacitors) are elaborately analyzed. The review concludes with current problems and challenges faced by the energy control systems of fuel cell vehicles.

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“…For control strategy applications, Vega-Leal et al used a proportional controller to control the fan speed according to the actual and desired temperature of the stack [22]. A model reference adaptive algorithm (MRAC) was proposed to improve the stability and convergence of temperature control [23]. Based on a simplified system at different stack loads, Liso et al carried out a feedback PID (Proportional-Integral-Derivative) control in the research of fuel cell energy balance [24].…”

Section: Introductionmentioning

confidence: 99%

Research on Control Algorithm of Proton Exchange Membrane Fuel Cell Cooling System

Lin

Yang

et al. 2019

Energies

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The proton exchange membrane fuel cell (PEMFC) is taken to be the ultimate technical direction of vehicle power. Cooling system is a key component which directly affects the fuel cell performance, reliability and durability. For the purpose of keeping accurate temperature control under dynamic loads and achieving rapid warm-up control during cold-start, a 35 kW PEMFC’s cooling system dynamic model is established and validated by experiments firstly. According to the simulation results, the model can well be fitted to the actual system. Then an integrate separate PID (Proportional-Integral-Derivative) algorithm and cooling fan prestart strategy is proposed. The result shows that it can effectively reduce the temperature overshoot under dynamic loads. In view of the thermostat mechanical characteristics tend to cause large temperature fluctuation during warm-up process, a thermostat control strategy is proposed to reduce the temperature fluctuation from 7.5 °C to 0.4 °C.

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Advanced thermal management of automotive fuel cells using a model reference adaptive control algorithm

Cited by 60 publications

References 20 publications

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

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

Challenges and developments of automotive fuel cell hybrid power system and control

Research on Control Algorithm of Proton Exchange Membrane Fuel Cell Cooling System

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