Jing Lian

Research on optimal control method of hybrid electric vehicles

Energy saving and environmental protection are the two main themes of today’s auto industry development. The hybrid electric vehicle (HEV) has become one of the most practical significant ways to solve energy and emission problems with good fuel economy and lower emissions. Aimed at the present HEV control methods, which have problems such as power loss, low efficiency of the system, the deterioration of the lubrication conditions, and so on, from the points of view of the overall efficiency of drive system, an optimal control method for a HEV is proposed to solve these problems. Firstly, all the possible operating modes are formulated. Then the efficiency evaluation equations of different modes are constructed. Next, according to the battery state of charge, this method determines the possible operating modes, and then the efficiency of different modes is calculated by means of the demand torque. Comparing the efficiency of different modes, the mode with the highest efficiency is obtained so that the engine torque and motor torque are distributed to enable the engine and motor output to correspond with this torque. Finally, the proposed method is simulated; the results show that it reduces system power loss and vehicle fuel consumption and emissions, and that it also protects the life of the transmission parts and lubrication conditions to some extent, achieving significant improvements.

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

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.

Traffic Scene Segmentation Based on RGB-D Image and Deep Learning

Semantic segmentation of traffic scenes has potential applications in intelligent transportation systems. Deep learning techniques can improve segmentation accuracy, especially when the information from depth maps is introduced. However, little research has been done on the application of depth maps to the segmentation of traffic scene. In this paper, we propose a method for semantic segmentation of traffic scenes based on RGB-D images and deep learning. The semi-global stereo matching algorithm and the fast global image smoothing method are employed to obtain a smooth disparity map. We present a new deep fully convolutional neural network architecture for semantic pixel-wise segmentation. We test the performance of the proposed network architecture using RGB-D images as input and compare the results with the method that only takes RGB images as input. The experimental results show that the introduction of the disparity map can help to improve the semantic segmentation accuracy and that our proposed network architecture achieves good real-time performance and competitive segmentation accuracy.

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

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.

Driving Control of Planetary Rover Based on Slip Ratio Estimation

Slip-sinkage is one of the main factors influencing the driving safety of planetary rover in soft terrain. In the environment of scarce features, based on the stereo visual sensors, the visual odometry algorithm is firstly developed to calculate the position changes of planetary rover with six degrees of freedom, which combine with the wheel speed sensor achieve the estimation of wheel slip ratios. Then, on the basis of mechanical analysis of soft terrain, choosing the slip ratio as the state variable, the coordinated driving control algorithm is designed. Simulation and experiment results demonstrate the effectiveness of the proposed control algorithm.

Design of on-Line Detection System for Vehicle Rear Axle Based on Vibration Theory

It is important to detect the vehicle rear axle on-line during production process. To realize the quality detection of the rear axle, vibration diagnosis method is adopted to analyze the vibration characteristics of the rear axle and calculate characteristic frequency. The on-line detection control system of vehicle rear axle quality is designed by extracting characteristic parameters of correctly reflecting rear axle running state and applying PLC system. The system has been operated stably, reliably and efficiently through the test. It has a practical significance.

Design and Implementation of Hybrid Electric Vehicle Control System CAN Communication

Based on the vehicle CAN bus technology, with features of Hybrid Electric Vehicle (HEV) control network be concerned, CAN bus protocols of application layer suitable for HEV are developed in the paper. And control network is built based on multi-master CAN distributed control technology. Through CAN controller programming of DSP, supported by the corresponding external drive circuit, the motor controller nodes is connected with the vehicle CAN network. Finally the CAN Bus communication of HEV energy assembly control system is designed and realized. Experimental result indicates that the system works well with stable signal and strong anti-jamming ability, and the communication with HEV CAN bus is realized successfully.

Development of Automotive Electronics HIL Simulation Experimental Platform

This paper presents a low-cost, simple and reliable solution for automotive electronics Hardware-In-Loop (HIL) simulation, taking Jetta AT1.6 car as object, designs and develops automotive electronics HIL simulation platform. Firstly, the overall structure of the platform is designed; secondly, system hardware platform is developed and built using Protel DXP; then, HIL simulation models of ABS (Anti-lock Braking System), engine and automatic transmission are built using Matlab/Simulink and develop automotive electronics HIL simulation platform; finally, carry on the experiment and the results show that the designed HIL simulation experimental platform is good. The platform has widespread applicability in the teaching experiments and the aspects of developing, debugging and testing of automotive electronics control systems.

Multi-Scale Edge Extraction Based Stereo Matching Algorithm

In the field of robot vision, edge feature based stereo matching algorithm can reconstruct the targets with clear contours, which needs accurate and continuous target edges been extracted. In the paper, the smoothing filter operator was designed based on the discrete criteria of edge extraction and its correspondence optimal linear filter. Edge extraction was carried out incorporated the nonmaximum suppression and two thresholds techniques. The discrete criteria based multi-scale edge extraction method was studied with full use of the multi-scale character of the edge information. The detected multi-scale edges were synthesized to obtain the accurate and continuous single pixel wide edge. Then an edge feature based stereo matching algorithm was proposed to obtain 3D information of target. The experimental results demonstrate that the method can effectively suppress disturbance in outdoor environment and reconstruct target contour clearly.