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Featured researches published by Li Qiang Jin.


Applied Mechanics and Materials | 2013

Study of Modeling and Simulation on Driving Force Power Steering for Electric Vehicle with In-Wheel-Motor-Drive

Chuan Xue Song; Feng Xiao; Li Qiang Jin; Shi Xin Song; Jian Hua Li; Si Lun Peng

The most significant feature of EV with In-Wheel-Motor is that, the torque of each wheel can be controlled independently. [. When EVs turn, controlling torque of steering wheel independently can generate torque difference around the kingpin to reduce the drivers steering force and improve the steering Portability [. At first, the theory and structure of Driving Force Power Steering (DFPS) are discussed and a vehicle dynamic model is built with AMESim software. Based on the control strategy and algorithm a control model is built using Matlab/Simulink. At last, a simulation is performed. The results show that the DFPS system can provide steering power and assist steering efficiently.


Applied Mechanics and Materials | 2011

Intelligent Velocity Control Strategy for Electric Vehicles

Li Qiang Jin; Chuan Xue Song; Jian Hua Li

In conventional vehicles, the control of vehicle speed is achieved by changing the engine load through adjusting the acceleration pedal. However, in electric vehicles, this is achieved by controlling the target motor torque obtained from the look-up table in accordance with the position of acceleration pedal. This method is an open-loop control, with which the engine brake cannot be implemented during downhill trips. In this paper, a closed-loop control of vehicle speed for electric vehicles is proposed. The target vehicle speed is set by the acceleration pedal. The controller collects the real vehicle speed, whereas the PID controller, according to the error of the real and target vehicle speed, adjusts the motor torque in real time to realize the closed-loop speed control. Under such controlling, the motor torque can be changed correspondingly with the resistance, thus makes the driving performance of electric vehicles more identical to that of conventional vehicles.


Applied Mechanics and Materials | 2014

The Effect on the Stability of Rear Drive Vehicle with Viscous Limited Slip Differential

Li Qiang Jin; Ze Wei Wang; Dong Xu Yin

This article reflects the influence on the limited slip differential (LSD) for the rear drive vehicle handling and stability through the process of stress analysis of automotive steering movement, where the vehicle dynamic simulation model including the LSD system is established, and it also has the analysis of the effects on the LSD for vehicle dynamics stability. Viscous Limited Slip Differential (VLSD) has influences on the motion characteristics of the vehicle in many aspects, including vertical movement and lateral movement that is most remarkable. It is obvious to improve the dynamic property and trafficability by it on the bad road for cars in longitudinal motion, but at the same time it also produce a great impact on the lateral movement characteristics of the automobile because of the unequal distribution of vehicle driving force.


Applied Mechanics and Materials | 2014

HIL Simulation of 7 Tons Pure Electric Midibus ESP Based on Dspace

Li Qiang Jin; Gang He; Fei Deng

In view of the 7 tons of small pure electric bus the ESP control program design, the rear wheel hub motor drive bus in-depth research, the dynamic stability of structures. The ESP control model and vehicle model, and on the basis of the hardware in the loop simulation experiment was carried out .Simulation working condition of selecting the step steering input and sine steering input two kinds. The results show that this article builds the ESP control model for the lateral stability of the electric bus was improved obviously.


Advanced Materials Research | 2014

HIL Simulation of Electric Bus Self-Adaptive Differential Technology

Li Qiang Jin; Gang He; Fei Deng

Having studied Adaptive differential technology of In-wheel motor driving midibus, analyzed the differences in terms of self-adaptive differential between traditional cars and in-wheel motor drive cars by comparison, introduced the method to realize the adaptive differential technology. By building the hardware in loop simulation of model electric bus, simulation including step steering, sine steering and steady turning conditions, we verify the in-wheel motor driving midibus under various driving conditions has good self-adaptive differential performance.


Applied Mechanics and Materials | 2013

Research on BP Based Fuzzy-PID Controller for Anti-Lock Braking System

Yue Liu; Li Qiang Jin; Xin Lu Liang; Zhu An Zheng

Control methods of the anti-lock braking system have been researched. A BP based Fuzzy-PID controller is proposed to reduce the time and the distance during braking. Through the compare of PID controller and fuzzy-PID controller and the BP based Fuzzy-PID controller which were simulated on Matlab/Simulink, it shows that BP based Fuzzy-PID controller has shorter braking distance and less braking time. So ABS with BP based Fuzzy-PID controller will work better than traditional PID controller.


Applied Mechanics and Materials | 2013

Rapid Prototyping Design for In-Wheel Motor Controller

Chuan Xue Song; Si Lun Peng; Li Qiang Jin; Jian Hua Li; Shi Xin Song; Zhu An Zheng

Based on the study of the Matlab rapid prototyping technology, the rapid prototyping design approach is presented, which is widely applicable to all kinds of microcontroller. Through the modification of the system target file, the automatic code generation function of the Matlab could support more microcontrollers. The rapid prototyping of in-wheel motor controller is designed through this approach. Then the embedded C codes are generated according to the vector control algorithm model which is validated by simulation, and the rapid prototyping of in-wheel motor controller is achieved. The proposed approach is validated through the comparison to hand-written code.


Advanced Materials Research | 2013

Co-Simulation of Composite ABS Control for In-Wheel Motor Drive Electric Vehicle Based on Threshold Control Algorithm

Jian Hua Li; Chuan Xue Song; Li Qiang Jin

According to the brake characteristics of in-wheel motor drive electric vehicles, and basing on threshold control method, we describe one kind of composite ABS control theory about electric motor ABS combined with hydraulic friction ABS, and establish a co-simulation vehicle model. The composite ABS control method is a control method that the electric motor ABS control works together with the hydraulic ABS control. Both of the two modes of ABS control logic were using logic threshold control method. The model of the in-wheel motor drive electric vehicle was established with AMESim, and the model of the composite ABS controller was built with Simulink. The control performance of composite ABS in different braking strength and different road friction coefficients is simulated. Co-simulation was carried out. Through analysis, a number of parameters curves were obtained. It proves that the composite ABS control method for in-wheel motor drive electric vehicles can effectively control the slip rate, and ensure braking stability.


international conference on electric technology and civil engineering | 2012

A New Anti-Brake System Verification in Electric Vehicle Driven by Four Wheel Motors Based on ECE R13

Qing Nian Wang; Yu Yang; Li Qiang Jin; Jun nian Wang

In this paper, first, a hypothesis that ABS(Anti-Brake System) regulation of EV(Electric Vehicle) could be realized only by wheel motor was put up, then based on the logic threshold method, an ABS control strategy was designed to test this hypothesis. Furthermore, the four wheel motors directly drive EV model was created and simulated with this control strategy in AME Sim, co-simulated with MATLAB/Simulink. At last, according to the ECE R13, this EV ABS control strategy was validated theoretically.


Applied Mechanics and Materials | 2012

Performance Simulation for Electric Vehicle with Motorized Wheels with Cruise

Li Qiang Jin; Peng Fei Chen; Yu Long Liu

Abstract:Dynamic Modeling of the electric vehicle with motorized wheels (EVMW) is different from the conventional one. Cruise is more and more widely used in the field of vehicle performance omputing. Its calculation results are so precise, it is convenient to use and easy to achieve the integration of control strategies and vehicle simulation. In this paper, a simulation model of EVMW is built by cruise. It is used to verify the matching parameters of EVMW, and calculate the vehicle power and energy consumption rate. The results show that the powertrain parameters meet the vehicle driving range requirements

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