Application for Hybrid Electric Vehicle Based on CAN Bus

The paper introduces the application of CAN bus in the Hybrid Electric Vehicle, studies the CAN bus technique and the design based on the node of CAN bus, and provides a network topology mode. The theories foundation and basis for new generation automotive are provided, which are combined to introduce the hardware constitutes and software method for the node of CAN bus.     

A control strategy for braking energy distribution and regenerative braking in a 4WD hybrid electric vehicle

Based on the braking theory of conventional vehicles and high efficient energy recovery and security braking, a control strategy for braking energy distribution and regenerative braking of a 4WD hybrid electric vehicle was proposed. Considering limiting factors, such as motor and battery efficiency, a simulation model of a regenerative braking system was built and a simulation of typical braking conditions was conducted. The simulation result shows that the highest energy recycle ratio can reach 87.5%, 47.8％, and 28.6％ when z is 0.1, 0.3, and 0.5, respectively, at 30 km/h. The control strategy for braking energy distribution and regenerative braking can satisfy demand for vehicle braking and obtain high regenerative energy.     

Fuzzy fault diagnosis for a regenerative heating systembased on a Kohonen neural network

Twelve typical faults and fuzzy treatment of nine symptom parameters were analyzed. A fault diagnosis method for a fuzzy Kohonen neural network was proposed based on diagnostic working principles and specific features of a Kohonen neural network. The application of the method shows the following merits: a self learning function, rapid operating speed, and strong grouping capability. The fuzzy Kohonen neural network can diagnose single and multiple faults. It is an effective and suitable method for fault diagnosis of the regenerative heating system of the steam turbine unit.     

Research and development of the real time remote monitoring control system of hybrid electric vehicles

This paper develops a vehicle carried remote data acquisition terminal based on GPS/GPRS integrated DTU(data transfer unit) and CAN Bus data acquisition module, and built a parameter remote monitoring system of HEV with GPRS and Internet. By using PIC18F4580 with built in CAN control module and industrial DTU MD610G, we transmitted the parameter data and GPS information of the HEV(Hybrid Electric Vehicle) terminals to the remote data control center through GPRS(General Packet Radio Service) and INTERNET. Taking VC++ as the development tool, we programmed a monitoring software of data exchanging, data processing and monitoring. The software also has the function of CANoe data playbacking and strengthened the system versatility. Eventually, the parameter remote monitoring system of HEV is developed. The experiment results show that the system works well.     

Intelligent control of the grinding and classificationsystem based on fuzzy RBF neural network

Based on RBF neural network and fuzzy theory, an intelligent control method, which can effectively overcome disturbance resulting from grinding efficiency and cyclone’s inlet pressure, is proposed. This method that can make grinding concentration and overflow particle size well proportioned will allow us to improve flotation grade and increase yield, and therefore realize the optimization of grinding and classification process. The present method is of simple analysis, less time of network learning and training. And high learning precision is high. The simulations show that our approach can also be applied to the control systems that are difficult to build accurate math model.     

Optimized regenerative braking strategy for a medium hybrid electric vehicle cruising downhill

The regenerative braking process of hybrid electric vehicles (HEVs) cruising downhill was analyzed. Based on the charging efficiency, temperature model of battery, and efficiency model of the generator, instantaneous and global optimal control strategies were proposed, with the goal of maximum of instantaneous regenerative braking energy and total regenerative braking energy respectively. Regenerative braking energy efficiency on roads of differing slopes and slope lengths were obtained. The results show that global optimal control strategy is better than instantaneous optimal control strategy, and the steeper the slope or the longer the slope is, the more distinct the increase of regenerative braking energy efficiency with a global optimal control strategy is. The influence of battery temperature on efficiency of regenerative braking energy of HEVs was also discussed.