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Dive into the research topics where Xiaoyong Shen is active.

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Featured researches published by Xiaoyong Shen.


international conference on mechatronics and automation | 2009

Design of doubly salient permanent magnet motor for small displacement ISG mild hybrid

Jing Lian; Yafu Zhou; Teng Ma; Xiaoyong Shen; Mengdong Mi

The performance of hybrid motor directly affects hybrid vehicle performance and fuel economy. In this paper, doubly salient permanent magnet motor is selected as vehicle motor of small displacement ISG mild hybrid. Magnet field superposition method is proposed to analyze the static characteristics of doubly salient permanent magnet motor. Namely, the “partition method” is adopted to analyze magnet field static characteristics when excitation windings operate alone. Then two-dimensional finite element is adopted to analyze magnet field static characteristics when permanent magnet operates alone. Doubly salient permanent magnet motor static characteristics are obtained by superposition, and motor structural parameters are designed through analogy. Finally, through physical prototype test, objectively test the performance of the prototype design to achieve the research and design of hybrid doubly salient permanent magnet motor.


international conference on intelligent computing | 2011

Study on Feed-Forward MAP-Based Vector Control Method of Vehicle Drive Motor

Yafu Zhou; Xiaoyong Shen; Jing Lian; Xinhan Sun; Jun Li; Minghui Liu; Ziliang Zhao

Contraposing to the shortage of narrow efficient area and over current when vector control method is applied to vehicle drive motors, this paper proposes a feed-forward MAP-based vector control method of vehicle drive motor. According to required motor torque and speed, directly control the magnitude and direction of voltage space vector to realize the aim of motor torque control. So, the calculation of torque current component and field current component is no need, which not only avoids over current that the PID closed-loop control leads to, improving the reliability of controller, but also avoids the dependence on current measurement, improving control precision and motor efficiency. Finally, simulation results and motor bench test prove this method can significantly enlarge efficient area, and it is suitable for vehicle running conditions.


Archive | 2012

Method for controlling hybrid power vehicle

Jing Lian; Linhui Li; Yafu Zhou; Hu Han; Xiaoyong Shen; Yongchao Sun; Yinggong Mo; Yifan Wang


Archive | 2012

Torque estimation method for vehicle engine

Jing Lian; Linhui Li; Yafu Zhou; Hu Han; Xiaoyong Shen; Tianzeng Lv; Yuwei Hua


Archive | 2012

Transmission mechanism for tripe-perched vehicle

Jing Lian; Linhui Li; Ping Hu; Hu Han; Yuwei Hua; Xiaoyong Shen; Yongchao Sun


Archive | 2012

Flexible electromagnetic coupling torque transmission method for electric automobile

Chunhua Chi; Linhui Li; Jing Lian; Xiaoyong Shen; Xinhan Sun; Yafu Zhou


Sensor Letters | 2011

Research on Data Monitoring System of Hybrid Electric Vehicle

Jing Lian; Yafu Zhou; Teng Ma; Xiaoyong Shen; Jun Li


Archive | 2011

Large-current connector safety monitoring method

Yafu Zhou; Jing Lian; Xiaoyong Shen; Linhui Li; Xinhan Sun; Chunhua Chi


Archive | 2011

Controller area network (CAN) bus-based light emitting diode (LED) high mount stop lamp intelligent control system

Jing Lian; Yafu Zhou; Linhui Li; Chunhua Chi; Xiaoyong Shen; Xinhan Sun


Archive | 2010

Drive motor feed-forward vector control method for electric automobile based on MAP graph

Chunhua Chi; Jing Lian; Xiaoyong Shen; Xinhan Sun; Yafu Zhou

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Jing Lian

Dalian University of Technology

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Yafu Zhou

Dalian University of Technology

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Linhui Li

Dalian University of Technology

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Xinhan Sun

Dalian University of Technology

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Hu Han

Dalian University of Technology

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Teng Ma

Dalian University of Technology

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Jing Chang

Dalian University of Technology

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Mengdong Mi

Dalian University of Technology

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