Skip to main content

and
  1. No Access

    Article

    Torque Vectoring and Multi-Mode Driving of Electric Vehicles with a Novel Dual-Motor Coupling Electric Drive System

    Highly integrated and efficient electric drive technology for improving the comprehensive performance of electric vehicles stands as a prominent research focus. This paper proposes a novel dual-motor coupling ...

    Junnian Wang, Zhenhao Zhang, Dachang Guo, Jiantu Ni in Automotive Innovation (2024)

  2. No Access

    Article

    Structural Topology and Dynamic Response Analysis of an Electric Torque Vectoring Drive-Axle for Electric Vehicles

    In-wheel motor-drive electric vehicles have the advantage of independently controllable wheel torque and the disadvantages of unsprung mass rise and power restriction. To address the disadvantages, a centraliz...

    Junnian Wang, Shoulin Gao, Yue Qiang, Meng Xu, Changyang Guan in Automotive Innovation (2022)

  3. No Access

    Article

    Fault Detection Based on a Combined Approach of FA-CP-ELM with Application to Wind Turbine System

    In this paper, a novel wind turbine (WT) fault detection method, based on the Partial Least Squares (PLS), Firefly Algorithm (FA), Chaos Map (CP) and Extreme Learning Machine (ELM), which is proposed and expla...

    Wenxin Yu, Shoudao Huang, Junnian Wang in Journal of Electrical Engineering & Technology (2021)

  4. No Access

    Article

    Power Load Disaggregation of Households with Solar Panels Based on an Improved Long Short-term Memory Network

    With the increasing application of small distributed renewable energy systems in household power supplies, when a large number of distributed renewable energy power generation systems are connected to the powe...

    JiaXuan Sun, JunNian Wang, Wen**n Yu in Journal of Electrical Engineering & Techno… (2020)

  5. No Access

    Article

    The Faults Diagnostic Analysis for Analog Circuit Based on FA-TM-ELM

    Develo** fault detection is very important for improving the equipment reliability and saving energy consumption. As compared with neural networks, extreme learning machine (ELM) is based on statistical lear...

    Wen**n Yu, Yongbo Sui, Junnian Wang in Journal of Electronic Testing (2016)