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Featured researches published by Xinbo Chen.


ieee transportation electrification conference and expo asia pacific | 2014

An overview of distributed drive electric vehicle chassis integration

Xinbo Chen; Cheng Gu; Jun Yin; Feng Tang; Xinjian Wang

Featuring compact structure, short transmission chain and high efficiency, the distributed drive electric vehicle has arisen great attention worldwide. In this paper, the research and development status of distributed drive electric vehicle chassis configuration is summarized. Specifically to suppress the negative effects of unsprung mass of the distributed drive electric vehicle, several novel schemes are introduced based on methods of lightweight design, mass transfer, dynamic vibration absorber and active suspension. Combined with some novel technologies, the developing trend of distributed drive electric vehicle chassis is discussed.


ieee transportation electrification conference and expo asia pacific | 2014

A study on self-learning control strategy for AMT clutch key control parameter

Zaimin Zhong; Chunxian Wang; Haikang Wu; Xinbo Chen

Clutch kiss-point has static deviation caused by manufacture error and dynamic deviation caused by friction plate wear. Without corresponding sensor, input shaft speed is calculated by vehicle speed. Maximum crankshaft acceleration and hysteretic nature of input shaft speed are analyzed. To overcome static deviation, an offline self-learning strategy is proposed, in which clutch engages under fixed-step to overcome the above-mentioned hysteretic nature. To overcome dynamic deviation, an online adaptation algorithm is proposed, in which kiss-point is identified by input shaft speed delay time and maximum crankshaft acceleration. Verification tests on vehicle show that the strategies achieve expected effects.


ieee transportation electrification conference and expo asia pacific | 2014

Modelica based modeling of automotive transmission

Hailiang Zhang; Zhuoping Yu; Zaimin Zhong; Bonian Wu; Xinbo Chen

We propose an approach for modeling automotive transmission system using Modelica language. This approach includes dynamic models of clutch and synchronizer, and definition of a system structure for vehicle modeling. This approach enables building of detailed models of a complicated system more easily, and reusing models for different projects. A hybrid transmission is constructed using the approach proposed, and is integrated into the structurized vehicle model. This hybrid vehicle is validated in a virtual NEDC experiment.


ieee transportation electrification conference and expo asia pacific | 2014

Automotive powertrain co-simulation with Modelica and Simulink

Zaimin Zhong; Bonian Wu; Xueping Chen; Xinbo Chen

We highlight an automotive powertrain co-simulation solution for developing SiL (Software in loop) simulation environment. This solution provides a co-simulation interface for importing control algorithm from Simulink to Modelica environment using RTW toolbox. Detailed illustration is given on how to realize this co-simulation interface. To verify the co-simulation solution, a SiL environment is constructed for an AMT control software, and a virtual vehicle acceleration experiment is launched in a Modelica simulation environment. This experiment gives reasonable results and validates the co-simulation solution.


Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering | 2018

Robust H∞ control design of an electromagnetic actuated active suspension considering the structure non-linearity:

Xinbo Chen; Lixin Wu; Jun Yin; Jianqin Li; Jie Luo

Electromagnetic actuated active suspension (EAAS) benefits energy harvesting while providing active control. However, the inertia of the actuator introduces an equivalent mass coupled with the sprung and unsprung mass. In addition, the specific structure of the suspension features structure non-linearity, which results in the perturbation of the equivalent mass of the actuator, the variation of the transmission ratio of the actuator output torque to the actuator force at the wheel side and an extra force to be compensated with. A dynamic model of active control considering the equivalent mass and the structure non-linearity is proposed. Based on a gearbox type EAAS, respective non-linearity is studied. For multi-objective optimization, a robust controller is designed with proper weighting functions. A virtual prototype of the EAAS is built and simulated with a bump/pothole and random excitation road profiles. Results show that neglecting the structure non-linearity effects influences the accuracy of active control. The investigation of this paper provides a fundamental methodology for the control design of actual applications of EAASs.


ieee transportation electrification conference and expo asia pacific | 2014

The research and development of direct wheel drive system with reducer for suppressing unsprung mass negative effects

Xinbo Chen; Jun Yin; Cheng Gu; Feng Tang; Xinjian Wang

The unsprung mass of direct wheel drive EV is increased significantly because of the in-wheel motor or motor with reducer. This brings the negative effects of the stability, safety and the ride comfort. In this paper, several schemes of direct wheel drive system for suppressing unsprung mass negative effects were proposed. A typical scheme was modeled and simulated to verify the suppression of unsprung mass negative effects. Then, a specific structural scheme for the single-link independent suspension direct wheel drive system with a dual-stage gearbox was proposed. And a prototype was made based on the research.


ieee transportation electrification conference and expo asia pacific | 2014

Transient control of motor speed in Vehicular Active Transmission

Xueping Chen; Zaimin Zhong; Xinbo Chen

A transmission integrated with more than one motor is defined as Vehicular Active Transmission. It can not only transmit the mechanical power, but also convert the energy between electrical and mechanical. The transient control in gear or mode switching process is one of the key technologies of active transmission. This paper applies optimal control theory to motor speed control in the process of gear shifting. The simulation comes to good control results that the motor reach rapidly target speed and keep stable around, which validates the feasibility of this motor speed control method.


Mechanical Systems and Signal Processing | 2012

Concept evaluation of a novel gear selector for automated manual transmissions

Zaimin Zhong; Guoling Kong; Zhuoping Yu; Xinbo Chen; Xueping Chen; Xiangyan Xin


Archive | 2009

Double-motor power mixing driving device

Zaimin Zhong; Xinbo Chen; Xinjian Wang; Zhuoping Yu


Archive | 2012

Wheel side power hybrid driving system

Xinbo Chen; Feng Tang; Zhuoping Yu; Zaimin Zhong; Zhijian Lu; Hua Xu

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