Thermal modeling and temperature control of a PEM fuel cell system for forklift applications

The aim of this research is to develop and test in a simulation environment an advanced model-based control solution for a Proton Exchange Membrane Fuel Cell (PEMFC) system. A Nonlinear Model Predictive Control (NMPC) strategy is proposed to maximise the active catalytic surface area at the Cathode Catalyst Layer (CCL) to increase the available reaction area of the stack and to avoid starvation at the catalyst sites. The PEMFC stack model includes a spatial discretisation that permits the control strategy to take into account the internal conditions of the system. These internal states are estimated and fed to the NMPC via a Nonlinear Distributed Parameters Observer (NDPO). The air-fed cathode of the PEMFC simulation model includes a two-phase water model for better representation of the stack voltage. The stack temperature is regulated through the use of an active cooling system. The control strategy is evaluated in an automotive application using a driving cycle based on the New European Driving Cycle (NEDC) profile as the case study.

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“…The energy balance of the PEMFC enables the computation of the stack temperature T f c as follows [18]:…”

Section: Thermal Modelmentioning

confidence: 99%

Enhancing the Efficiency and Lifetime of a Proton Exchange Membrane Fuel Cell Using Nonlinear Model-Predictive Control With Nonlinear Observation

Luna

Usai

Husar

et al. 2017

IEEE Trans. Ind. Electron.

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“…Numerous simulation models have been published on various aspects of PEM fuel cell cooling systems [65][66][67][68][69][70] but none of them have involved the use of nanofluids. In this study, by applying a semi-analytical steady state model of PEM fuel cell cooling systems, the challenges of conventional coolants (large size heat exchanger and pumping power) will be addressed.…”

Section: Overviewmentioning

confidence: 99%

Nanofluids to improve the performance of PEM fuel cell cooling systems: A theoretical approach

2016

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“…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]. Chen et al investigated the feasibility of nonlinear feedforward and LQR (Linear Quadratic Regulator) state feedback for temperature control [25].…”

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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Thermal modeling and temperature control of a PEM fuel cell system for forklift applications

Cited by 130 publications

References 11 publications

Enhancing the Efficiency and Lifetime of a Proton Exchange Membrane Fuel Cell Using Nonlinear Model-Predictive Control With Nonlinear Observation

Enhancing the Efficiency and Lifetime of a Proton Exchange Membrane Fuel Cell Using Nonlinear Model-Predictive Control With Nonlinear Observation

Nanofluids to improve the performance of PEM fuel cell cooling systems: A theoretical approach

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

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