Showing 461 - 480 results of 716 for search '"Electric vehicle"', query time: 0.07s Refine Results
  1. 461

    Design and Simulation Analysis of a New Frictionless Synchronizer by Chen Yongzhong, Zhu Bo, Zhang Nong

    Published 2019-01-01
    “…The three-dimensional model is imported into Adams to establish a virtual prototype model and a two-gear pure electric vehicle model is built in Matlab/Simulink which is used to simulate the speed synchronization and backing process of the new synchronizer. …”
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    Article
  2. 462

    Design and Simulation Analysis of a New Type of Planetary Gear Plug-in Hybrid Power System by Li Zhiming, Wang Yulin, Tang Jinqin, Hao Xiyang

    Published 2018-01-01
    “…A new type of hybrid transmission device for plug-in hybrid electric vehicle( PHEV) is present with planet gearbox. …”
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    Article
  3. 463

    Optimizing Electric Truck Routing and Charging with Soft Time Windows Using Vehicle-to-Grid Technology by Jong-Hyun Ryu, Seong Wook Hwang

    Published 2023-01-01
    “…Due to the rapid increase in the use of electric vehicles and instability in energy supply, the application of vehicle-to-grid (V2G) technology has gained attention in the freight transportation sector. …”
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  4. 464
  5. 465

    Multi-objective Optimization for Hybrid Power System based on the Differential Evolution Algorithm by Deng Tao, Lin Chunsong, Li Ya’nan, Lu Renzhi

    Published 2016-01-01
    “…Considering the disadvantages of energy management multi- objectives optimization for hybrid electric vehicle( HEV) which usually adopts weighted sum method,by using the Pareto optimum algorithm,based on non- dominated sorting method to deal with the fuel economy and emissions( CO,NOxand HC) evaluation indexes,then a new adaptive differential evolution algorithm is proposed and simulated which can be applied to multi- objective optimization of HEV energy management. …”
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    Article
  6. 466

    Simulation Study on the Vibration Response of an EV Power Train Considering the Fluid-structure Coupling by Chen Shiyang, Yu Peng, Zhang Tong, Guo Rong

    Published 2016-01-01
    “…Taking a centralized drive electric vehicle power train as study object,considering the influence of coolant and lubricating oil,the fluid- structure model is established. …”
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    Article
  7. 467

    A Novel E-DVA Module Synthesis Featuring of Synergy between Driving and Vibration Attenuation by Cheng Gu, Jianfei Zhu, Xinbo Chen

    Published 2016-01-01
    “…To attenuate the negative effects brought by heavy unsprung mass of the decentralized driving electric vehicle, a novel e-DVA module featuring of synergy between driving and vibration attenuation is proposed in this paper. …”
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    Article
  8. 468

    SIMULATION AND EXPERIMENTAL RESEARCH OF ELECTRIC POWER STEERING SYSTEM BASED ON MULTI-BODY DYNAMICS by LI Cheng, LI Min, WANG AiGuo, CHENG Yu

    Published 2022-01-01
    “…By collecting the hard points data of an independent brand electric vehicle, EPS dynamic model was established and the assistance characteristic parameters of the model were designed. …”
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  9. 469

    Torque Dynamic Coordinated Control for HEV based on the ISG Motor Torque Compensation by Deng Tao, Lu Renzhi, Li Yanan, Lin Chunsong

    Published 2015-01-01
    “…For the fluctuations problem of driveline torque which results from working-mode switching of dual-clutch parallel hybrid electric vehicles with integrated starter / Generator( ISG),focusing on study the process of transferring from pure electric working model to only engine working model.Based on the method of optimal the total efficiency of hybrid electric vehicle,the steady-state energy management control strategy is established,and then steady torque distribution area is achieved,which is the basis of coordination and control of dynamic torque.For the problem adopted the engine dynamic torque estimate genetic algorithm based on BP neural network algorithm,and ISG motor torque compensation method is proposed for dynamic torque coordinated control strategy.The simulation results show that the method proposed above can significantly decreases the torque fluctuations of working model transferring process,at the same time,the jerk to driveline is greatly reduced.…”
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  10. 470

    Research of ECMS Energy Management Strategy of Hybrid System based on Grey Forecasting by Deng Tao, Cheng Dong, Zhou Hao, Wang Mingming

    Published 2017-01-01
    “…To further improve the fuel economy and online real-time optimization ability of energy management strategy for Hybrid Electric Vehicle(HEV),the grey forecasting GM(1,1) model is established to forecast real-time vehicle speed,and then combined with Equivalent Consumption Minimization Strategy(ECMS) to be proposed HEV ECMS energy management strategy with grey forecasting method.Furthermore,the entire HEV simulation model is built,and the three different WVUCITY,WVUSUB and WVUINTER cycle is selected to simulate and analyze the effect of energy management.The simulation results show that,firstly,the precision of grey forecasting for speed is reliable.Secondly,the SOC will be more stable and battery has longer life by integrating grey forecasting and ECMS.Finally,the fuel economy is increased by 7.4%,7.5%,6.3%respectively through the proposed strategy,when compared with the non-forecasting method under the above three cycle.…”
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  11. 471

    Parameter Matching and Optimization of Power-split HEV Transmission System by He Jianqiang, Wang Shaohua, Yao Yong

    Published 2017-01-01
    “…With a power-split hybrid electric vehicle( HEV) as the research object,the characteristic parameters of the planetary gear in the coupling mechanism and the main reduction ratio are optimized on the basis of double objective function for performance economic and dynamic. …”
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    Article
  12. 472

    Research of Gear Position Decision of Dual Motor Multiple Speed AMT based on BP and Its Optimization Neural Network by Yongqiang Ren, Qisheng Wu, Biao Yuan

    Published 2020-01-01
    “…Taking the dual motor multiple speeds AMT of pure electric vehicle as the object, the experimental data are collected, the neural network before and after optimization is constructed, and then the training and simulation analysis are carried out. …”
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    Article
  13. 473

    A Hybrid Power System with Main and Auxiliary Gearbox Structure and Its Simulation Analysis by Zhifeng Li, Yulin Wang, Jian Zhang, Wenhan Jiang, Mengyu Guo

    Published 2020-05-01
    “…In the Matlab/Simulink software, the electric vehicle simulation software ADVISOR is redeveloped, the parallel hybrid bus model is built, and compared with the original bus by simulation analysis. …”
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    Article
  14. 474

    Optimization of Parameter Matching of Hybrid Power System for HEV based on NSGA-Ⅱ Algorithm by Deng Tao, Xu Bin, Li Decai, Luo Weixing

    Published 2016-01-01
    “…Aiming at the defects of single target for traditional parameter optimization on hybrid power for hybrid electric vehicle( HEV),the fuel economy,emission and riding comfort are as the multi-objectives optimization object,and taking the entire dynamic performance is as constraint condition,then the Non-dominated Sorting Genetic Algorithm-Ⅱ( NSGA-Ⅱ) multi-objectives parameter optimization algorithm is proposed. …”
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    Article
  15. 475

    Structure Design and Performance Analysis for Direct-driving Automated Mechanical Transmission by Yu Xiao, Li Bo, Ge Wenqing, Li Zhengping

    Published 2018-01-01
    “…At the typical working condition of pure electric vehicle( difference of rotary speed is 500 r/min and the moment of inertia is0. 1 kg·m<sup>2</sup>),time for shift is 0. 29 s,the shift shocks are 4. 9 m/s<sup>3</sup> and 0. 695,which meet the requirement of shifting. …”
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    Article
  16. 476

    A DSP-Controlled Permanent Magnet Synchronous Motor Control System for Hybrid Vehicles by Qiang Fu

    Published 2022-01-01
    “…At the same time, its weight is relatively light, so it is more in line with the development trend of hybrid electric vehicle (EV) drive motor lightweight miniaturization and has been widely used. …”
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    Article
  17. 477

    Solving Decision-Dependent Games by Learning From Feedback by Killian Wood, Ahmed S. Zamzam, Emiliano Dall'Anese

    Published 2024-01-01
    “…Numerical simulations are provided for a novel electric vehicle charging market formulation using real-world data.…”
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  18. 478

    Matching and Optimization for the Parameter of Electric City Vehicle Powertrain by Li Wenwen, Sun Houhuan, Xu Xiaowen

    Published 2017-01-01
    “…Under the double pressures of energy crisis and environmental problems,the governments and the automobile enterprises have paid much attention to the pure electric vehicle which has advantages of zero emission,low noise and wide range of energy sources.Electric car is not very different from conventional cars,whether in the main structure or in the appearance.The main change is made in terms of drivetrain.Taking the pure electric city car as our research target,the power transmission system parameter is analyzed and designed,according to the vehicle parameters,power and economy requirements,the vehicle power system parameter is matched.The matched parameters of power system preliminarily is optimized from improving the transmission efficiency,taking the shortest time of acceleration and working conditions driving range maximum as optimization goal.The fitness function of transmission speed ratio is constituted of objective function and constraints condition by using a penalty function.The optimization is carried out by genetic algorithm,the optimal parameters of power system are obtained.…”
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  19. 479

    A Novel Terminal Sliding Mode Variable Structure Model Reference Adaptive System Observer for Permanent Magnet Synchronous Motors by Yan Bai, Lei Zhang, Xiang-Min Meng, Jing Bai, Guang Han

    Published 2024-01-01
    “…This paper introduces a model reference adaptive system observer based on the non-singular fast terminal sliding mode (NFSM-MRASO) for the purpose of sensorless control of permanent magnet synchronous motors (PMSMs) in electric vehicle applications. Firstly, a non-singular fast terminal sliding surface is constructed based on the output errors of the reference model and the adjustable model. …”
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  20. 480

    A method for detecting abnormal electricity prices at charging stations based on two rounds of clustering by XUE Xiaohui, ZHANG Wen, ZHANG Jing, CHEN Yan, ZHOU Chun, CHEN Liang, CAO Zengwei

    Published 2025-01-01
    “…Secondly,the <italic>K</italic>-means clustering algorithm was used to extract electric vehicle users. Then, in the second clustering, the density-based spatial clustering of applications with noise (DBSCAN) algorithm was used to accurately identify more complex default situations,such as high price and low connection. …”
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    Article