OPTIMAL TORQUE CONTROL STRATEGY FOR PARALLEL HYBRID ELECTRIC VEHICLE WITH AUTOMATIC MECHANICAL TRANSMISSION

In parallel hybrid electrical vehicle （PHEV） equipped with automatic mechanical transmission （AMT）, the driving smoothness and the clutch abrasion are the primary considerations for powertrain control during gearshift and clutch operation. To improve these performance indexes of PHEV, a coordinated control system is proposed through the analyzing of HEV powertrain dynamic characteristics. Using the method of minimum principle, the input torque of transmission is optimized to improve the driving smoothness of vehicle. Using the methods of fuzzy logic and fuzzy-PID, the engaging speed of clutch and the throttle opening of engine are manipulated to ensure the smoothness of clutch engagement and reduce the abrasion of clutch friction plates. The motor provides the difference between the required input torque of transmission and the torque transmitted through clutch plates. Results of simulation and experiments show that the proposed control strategy performs better than the contrastive control system, the smoothness of driving and the abrasion of clutch can be improved simultaneously.

GEAR POSITION DECISION METHOD OF AUTOMATED MECHANICAL TRANSMISSION BASED ON FUZZY INFERENCE

A gear position decision method used in automated mechanical transmission is introduced. The algorithm of the mechod is composed of a driving environment and driver's intention estimator, the shift schedules suit for each typical driving environment and driver's intention situation, and an inference ligic to determine the most proper gear position for the present situation. The estimator identifies the driving environment and driver's intention features which are divided into some typical models. Based on the identified results, the algorithm works out the best gear position. It just simulates the course of driver's making gear position decision when driving a automobile with manual transmission. The test results show that the automated mechanical transmission with the method gives less unnecessary shifting and more proper gear position than common shift schedules.

Curvature Adaptive Control Based Path Following for Automatic Driving Vehicles in Private Area

Path following refers to traveling along the desired path with automatic steering control,which is a crucial technology for automatic driving vehicles.Roads in private areas are highly irregular,resulting in a large curvature variation,which reduces the control accuracy of the path following.A curvature adaptive control(CAC)based path-following method was proposed to solve the problem mentioned above.Specifically,CAC takes advantage of the complementary characteristics in response to the path curvature fluctuation of pure pursuit and front-wheel feedback and by combining the two methods further enhances the immunity of the control accuracy in response to a curvature fluctuation.With CAC,the quantitative indices of the path curvature fluctuation and control accuracy were constructed.The model between the path curvature fluctuation and a dynamic parameter was identified using the quantitative index of the control accuracy as the optimization target.The experimental results of a real vehicle indicate that the control accuracy of path following is further enhanced by its immunity in response to curvature fluctuation improved by the CAC.In addition,CAC is easy to deploy and requires low demand for hardware resources.

Design of Tracked Vehicle Based on Jumping Sumo

The article aims to design a program that can contro the jumping sumo to complete basic instructions like moving and turning and to perform certain tasks automatically.Knowledge abou image analysis, edge detection and IOS development have been applied to the project.With image analysis and edge detection algorithm, the jumping sumo is expected to successfully perform the basic actions and automatically move along the track.In the future design the jumping sumo has more potential to be used in the civil domain.

Analysis on the development status of intelligent and connected vehicle test site

With the development of automobile intelligence and connectivity,Intelligent and Connected Vehicle(ICV)is an inevitable trend in the transformation and upgrading of the automotive industry.The maturity of any advanced technology is inseparable from a large number of test verifications,especially the research and application of automotive technology require a large number of reliable tests for evaluation and confirmation.Therefore,the ICV Test Site(ICVTS)will become a key deployment area.In this paper,we analyze the development status of ICVTS outside and within China,summarize the shortcomings of the existing test sites,and put forward some targeted suggestions,in an effort to guide the development and construction of ICVTS towards the path that seems to be most promising.