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RISS 인기검색어
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- 저자 : Yang Meilan (검색결과 3 건)
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A Non-isolated High-gain DC/DC Converter Suitable for Fuel Cell Vehicles
Zhou Meilan,Fu Jun,Wu Xiaogang,Yang Mingliang,Zhang Zhigang 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.1
The output voltage of the fuel cell is relatively low, which is usually lower than the DC bus voltage in the power system of electric vehicles. At the same time, the fuel cell output current and output voltage are signifi cantly inversely proportional to each other, as the output current increases, the output voltage drops signifi cantly. For the purpose of adapting the unstable output voltage characteristics., this paper proposes a non-isolated converter structure. The proposed converter has certain advantages in electrical performance, high voltage gain, low component voltage stress, wide input voltage range, and the structure that the output and input are common ground. In this paper, the working principle is analyzed. The closed-loop control system is designed by building a small-signal model. And a prototype is designed while calculating the device parameters. The experimental results show that the input range of the prototype is 25–60 V. When the rated output voltage is 200 V, the boost ratio can reach 8 times, which meets the requirements of fuel cell vehicles for DC/DC converters.
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Multi-objective particle swarm optimization with dynamic population size
Shu Xiaoli,Liu Yanmin,Liu Jun,Yang Meilan,Zhang Qian 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.1
There are many complex multi-objective optimization problems in the real world, which are difficult to solve using traditional optimization methods. Multi-objective particle swarm optimization is one of the effective algorithms to solve such problems. This paper proposes a multi-objective particle swarm optimization with dynamic population size (D-MOPSO), which helps to compensate for the lack of convergence and diversity brought by particle swarm optimization, and makes full use of the existing resources in the search process. In D-MOPSO, population size increases or decreases depending on the resources in the archive, thereby regulating population size. On the one hand, particles are added according to local perturbations to improve particle exploration. On the other hand, the non-dominated sorting and population density are used to control the population size to prevent the excessive growth of population size. Finally, the algorithm is compared with 13 competing multi-objective optimization algorithms on four series of benchmark problems. The results show that the proposed algorithm has advantages in solving different benchmark problems.
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Zhang, Han,He, Hanyi,Liu, Jun,Li, Honghui,Zhao, Shuaiwei,Jia, Meilan,Yang, Jijun,Liu, Ning,Yang, Yuanyou,Liao, Jiali Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.1
The europium sorption on Tamusu clay was investigated by batch sorption experiments and spectroscopic study under the condition of strong ionic strength. The results demonstrated that europium sorption on Tamusu clay increased rapidly with pH value, but decreased with the ionic strength of solution increased. The europium sorption also increased in the presence of humic acid, especially at low pH value. The sorption could be fitted by Freundlich isotherm model and the europium sorption on clay was spontaneous and endothermic reaction. Besides, the result indicates that ion exchange was the main process at low pH value, while inner-sphere surface complexation dominated the sorption process at high pH value. The Backscatter electron scanning/Energy Dispersive Spectrometer(BSE/EDS) and the effect of Na for europium sorption results further suggested that europium sorption on Tamusu clay mainly competed with Na at low pH value. Overall, the results in this research were of significance to understand the sorption behavior of europium on the geological media under high ionic strength.
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