Effects of temperature on the performance of fuel cell hybrid electric vehicles: A review

Song, Zhen; Pan, Yue; Chen, Huicui; Zhang, Tong

doi:10.1016/j.apenergy.2021.117572

Cited by 90 publications

(31 citation statements)

References 75 publications

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“…Since battery discharge is a continuous exothermic process, ensuring that the temperature of each part of the battery remains uniform and does not locally overheat is still a challenge. However, given its structural similarity to a fuel cell, the thermal management system of a lithium–air cell could benefit more from the hydrothermal management system of a fuel cell, whether it uses liquid cooling or phase change cooling 135,136 . The difference is that the system of lithium–air batteries has strict requirements for moisture, so finding a suitable cooling medium is also a key point.…”

Section: Lithium–air Batterymentioning

confidence: 99%

Thermal safety and thermal management of batteries

Rao

Lyu

et al. 2022

Battery Energy

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Electrochemical energy storage is one of the critical technologies for energy storage, which is important for high-efficiency utilization of renewable energy and reducing carbon emissions. In addition to the higher energy density requirements, safety is also an essential factor for developing electrochemical energy storage technologies. Lithium-ion batteries (Li-ion batteries) are commercialized as power batteries in electric vehicles (EVs) because of their advantages (such as high energy density, long life span, etc.), while for future electrochemical energy storage markets, lithium-sulfur (Li-S) and lithium-air (Li-air) batteries can be promising candidates for high energy density requirements. Therefore, this paper summarizes the present or potential thermal hazard issues of lithium batteries (Li-ion, Li-S, and Li-air batteries).Moreover, the corresponding solutions are proposed to further improve the thermal safety performance of electrochemical energy storage technologies.

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Section: Lithium–air Batterymentioning

confidence: 99%

Thermal safety and thermal management of batteries

Rao

Lyu

et al. 2022

Battery Energy

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“…The type of FCS is proton exchange membrane (PEM) or it can be called also polymer electrolyte membrane (PEM). The PEMFCS conducts the electrochemical reaction process as a conversion of the chemical energy from hydrogen (H2) and oxygen (O2) to be electrical energy [9]. The electrical parameters of PFC as stated in Table 1 are filled in the block set of FCS with the input of hydrogen and oxygen in the atomic mass unit (amu) are stated in the function block set.…”

Section: Modelling Of Fcss Integrated By Boosted Dc-dc Convertermentioning

confidence: 99%

Optimum Sizing and Performance of Fuel Cell Stack Integrated by Boosted DC-DC converter for Running DC Load

Irwanto

Hussin²,

Suhelmi³

et al. 2022

J. Phys.: Conf. Ser.

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A fuel cell stack (FCS) converts the chemical energy to be the electrical energy through an electrochemical process. One type of FCS is proton exchange membrane (PEM) with hydrogen and oxygen as the main chemical energy source. The PEMFCS has been applied widely for operating direct current (DC) loads. However, the optimum sizing of FCS, DC load and the other supported devices are not considered well, thus the system performance does not have function optimum fully. This paper present the FCS integrated by boosted DC-DC converter for running DC load. The optimum sizing of FCS and boosted DC-DC converter are explained to obtain the required number of FCS and boosted DC-DC converter. A simulation of the FCS integrated boosted DC-DC converter is conducted using SIMULINK MATLAB. The simulation results show that the FCS and boosted DC-DC converter have good performance in the operation of DC load.

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“…The polymer exchange membrane fuel cell (PEMFC) mixes oxygen and hydrogen without ignition and converts this chemical energy into electrical energy, heat, and water, without pollutant emissions [5]. The PEMFC is the most used technology because of its low working temperature [6], wide range of pressure, high relative humidity, high power density, fast startup, and low heat waste [7].…”

Section: Introductionmentioning

confidence: 99%

Optimal PEM Fuel Cell Model Using a Novel Circle Search Algorithm

Qais¹,

Hasanien

Turky

et al. 2022

Electronics

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The aim of this article is to introduce a novel Circle Search Algorithm (CSA) with the purpose of obtaining a precise electrical model of a proton exchange membrane fuel cell (PEMFC). Current-voltage and current-power curves are used to characterize the performance of PEMFCs. A nonlinear model with seven unknown parameters is used to describe these polarization curves. Estimating these unknown parameters is a critical issue because they influence the dynamic analysis of fuel cells in a variety of applications such as transportation and smart grids. The suggested method is based on minimizing the fitness function (the sum of the squared errors (SSE)) between estimated and measured voltage values. The CSA is compared to the neural network algorithm (NNA), grey wolf optimization (GWO), and the sine cosine algorithm (SCA). The optimization results reveal that the simulation times of the CSA, NNA, GWO, and SCA are 5.2, 6, 5.8, and 5.75 s, respectively. Moreover, the CSA converges to the best minimum within the first 100 iterations, which is faster than the other algorithms. The robustness of the CSA is verified using 20 independent runs, where the CSA achieves the smallest average and standard deviation. In addition, the t-test proves the superiority of the CSA compared to the other algorithms, where all p-values are less than 5%. The simulated I-V and I-P curves of the CSA-PEMFC model match the measured curves very closely. Moreover, the efficacy of the CSA-PEMFC model is evaluated under a variety of temperature and pressure conditions. Therefore, the suggested CSA-PEMFC model has the potential to be an accurate and efficient model.

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Effects of temperature on the performance of fuel cell hybrid electric vehicles: A review

Cited by 90 publications

References 75 publications

Thermal safety and thermal management of batteries

Thermal safety and thermal management of batteries

Optimum Sizing and Performance of Fuel Cell Stack Integrated by Boosted DC-DC converter for Running DC Load

Optimal PEM Fuel Cell Model Using a Novel Circle Search Algorithm

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