Abstract

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.

Highlights

  • The proton exchange membrane fuel cell (PEMFC) has attracted much attention in recent years because of its low operating temperature, fast start-up speed and high energy density [1,2]

  • The cooling system plays an important role in controlling the temperature control system

  • The cooling system plays an important role in controlling the temperature of of fuel fuel cell cell stack

Read more

Summary

Introduction

The proton exchange membrane fuel cell (PEMFC) has attracted much attention in recent years because of its low operating temperature, fast start-up speed and high energy density [1,2]. Considering the effect of fan power and and pressure on overall performance opencathode cathodeair-cooled air-cooledPEMFC, PEMFC, aa two-dimensional two-dimensional pressure dropdrop on overall performance of of thethe open numerical model was developed to investigate the forced air convection heat transfer. Jung developed a two-dimensional heat transfer model to study temperature distribution in cell area. Model reference fan speed according to the actual and desired temperature of the stack [22]. Based on a simplified system at different stack loads, Liso et al carried out a feedback (Proportional-Integral-Derivative) control in the research of fuel cell energy balance [24]. PID (Proportional-Integral-Derivative) control in the research of fuel cell energy balance [24]. Thermal management model was proposed under different state feedback for temperature control [25].

Modeling
Model of Pump
Model of Radiator
Relationship
Moedel of Thermostat
Model Validation
Control
Integral Separation PID Algorithm
Integral separation
Calculation of control output
Fan Prestart Algorithm
Rapid Warm-up
The Thermostat Open Algorithm
Discussion
Accurate
Rapid Warm-up Control During Cold-Start
14. Enable
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.