Management Strategy Based on Genetic Algorithm Optimization for PHEV

Zhang Yu,Meng Dawei,Zhou Meilan,Lu Dengke 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.11

Aiming at the refitted HAFEI hybrid electric vehicle (HEV), fuzzy logic energy management strategy is constructed based on genetic algorithm optimization. The difference value D between the total require torque Tr of path and the target required torque Te of engine, the intelligence quotient value with Tr is selected as the first input variable of fuzzy controller, the SOC of battery as the second input variable; torque control coefficient C is selected as output variable, meanwhile two input variable membership function is improved on genetic algorithm. To further evaluate the control strategy, dynamic programming control strategy is used as standard; the simulation experiments show that every kind of gas emission is obviously reduced by 12% to 47% in fuzzy control strategy B based on genetic algorithm optimization compared to strategy A based on determinacy rules. Compared to dynamic programming, fuel economy in strategy A is only 45.09% of standard value which is not ideal, the utilization of fuel is low and the gas emission is serious, while in strategy B fuel economy is 78.89% of standard value and effect is improved obviously.

《官話類編》和十九世紀的漢語官話

張美蘭(Zhang Meilan) 한국교통대학교 동아시아연구소 2007 동아문헌연구 Vol.- No.-

Research on Energy Flow Optimization of Compound Storage System in Pure Electric Vehicle with Longitudinal Dynamics

Meng Dawei,Zhang Yu,Zhou Meilan,Tian Xiaochen 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.12

Aiming at short endurance mileage for electric vehicle, effected vehicle life because of battery excessive charging and discharging, the control method is put forward making use of super-capacitor to recovery regenerative braking energy, Hafei-Saibao electric vehicle is as example,seven kinds of topology with composite energy-single load are researched on power consumption, and the force condition of front and rear wheels is analyzed for front driving vehicle,the required energy of front wheel is detected to develop control strategy. On the basis of experimental data, co-simulation is achieved in the vehicle special simulation software, the experimental results show endurance mileage of improved car has increased by 34%, endurance mileage after being charged is 243 kilometer, the per hundred kilometers consumption has been decreased to 7.5 kW.h from 12 kW.h, the electrical consumption has been decreased by 37.5%, and the full load characteristics is optimized.

Sorption behavior of Eu(III) on Tamusu clay under strong ionic strength: Batch experiments and BSE/EDS analysis

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.

Identification of pepper genes involved in the response to CO 2 enrichment using RNA-Seq analysis

Jing Zhang,Rui Bai,Mengya Shang,Xiaoyong Xu,Hongxia Song,Shaowen Zheng,Leiping Hou,Meilan Li,Guoming Xing 한국원예학회 2021 Horticulture, Environment, and Biotechnology Vol.62 No.1

Pepper is widely cultivated, and the application of CO 2 promotes photosynthesis and increases its yield. However, the molecularmechanisms underlying this are still unclear. In this study, the photosynthetic correlation indexes under elevated CO 2and control conditions were compared. The application of CO 2 increased the photosynthetic capacity of pepper. Moreover,RNA-Seq analysis was used to identify genes that were diff erentially expressed between pepper leaves grown in CO 2 -enrichedconditions and those grown in control conditions. The 149 diff erentially expressed genes (DEGs) were found to be involvedin photosynthesis and other metabolic processes. According to GO signifi cant enrichment analysis, the proteins encodedby the DEGs were mainly found to be located in the chloroplast, the chloroplast matrix, and the apoplast. According toKEGG signifi cant enrichment analysis, the DEGs were found to be involved in glutathione metabolism; starch and sucrosemetabolism; and stilbenoid, diarylheptanoid, gingerol, fl avonoid, and phenylpropanoid biosynthesis. The DEGs were alsoinvolved in the pentose phosphate pathway, carbon metabolism, and porphyrin and chlorophyll metabolism. Based on theGO annotation and the KEGG database analysis, ten of the DEGs identifi ed were suggested to be involved in photosynthesisand related processes; these genes were predicted to have roles in carbohydrate, soluble sugar, and glutathione metabolism,and in raffi nose, cysteine, nucleotide, and ABA biosynthesis. These DEGs are involved in the pentose phosphate pathwayand tricarboxylic acid cycle of carbon assimilation during photosynthesis. One of the DEGs was also found to be involved inchlorophyll biosynthesis. These results lay the foundation for further investigation of the molecular mechanisms and genesinvolved in the response to CO 2 enrichment in peppers.

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.

Analog Filter Circuits Feature Selection Using MRMR and SVM

Yongkui Sun,Lei Ma,Na Qin,Meilan Zhang,Qianyong Lv 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10

This paper addresses frequency response feature extraction of analog filter circuits. An approach for feature selection using criteria of maximum relevance minimum redundancy (MRMR) and support vector machine (SVM) is proposed. Key idea of the method is to obtain candidate feature subsets with descending order using criteria of MRMR first, and then to select the optimal feature subset through cross validation results of each feature subset using SVM. Experimental results testify that the proposed approach has the advantages of less time-consuming and the selected features have reasonable distribution.

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.