Zhou Yongqin

The Research and Realization for Passenger Car CAN Bus

In order to solve the problem of data interchange among many electronic devices of future automobile, moreover reduce wires and cost, and increase the total system reliability , we have developed a network control system of CAN (controller area network) bus based on CAN2.0B protocol and CAN bus controller MCP2510 aiming at our experiment sample car. We have applied it to an electronic control and detection system for a dry hybrid belt continuously variable transmission (A-CVT) developed by us, and it realizes the communication between the engine electric control unit (ECU) and transmission electronic control unit (TCU). The principle diagram of CAN bus control area network, the main software flow chart and hardware circuit are shown, and the experimental data wave cures when communicating are obtained. Through test with our experiment sample car equipped with the TCU and the network control system of CAN bus developed by us, the accelerating time up to 100 Km/h is 22s; and 23s with original in the same situation. The long-term test indicates that the network control system of CAN bus runs with stability and extendibility, and has good communication and control ability.

Modeling and Simulation of Continuously Variable Transmission for Passenger Car

In order to implement the demand of minimum fuel consumption and good power performance for continuously variable transmission (CVT) car, aiming at the whole vehicle model including the engine, the clutch, the CVT and load, the dynamics model of CVT system is established according to different stage of clutch engaging, based on that the dynamic integrated simulation model is developed. Aiming at the running situation of car being complex and variable frequently and the input and output of transmission system being strong coupling, a PD speed ratio controller of self-adjusting parameter and a clutch torque fuzzy controller are devised respectively. Finally three typical running situations are simulated and analyzed, including starting-accelerating, starting-decelerating and encountering resistance disturbance. The steady car speeds of three simulation situations are 109.40 Km/h, 39.93 Km/h and 74.48 Km/h respectively, on the other hand, the theoretical values of that are 109.97 Km/h,39.90 Km/h and 74.49 Km/h respectively. The dynamical curves of simulation demonstrates that the simulation model established is correct, the controllers devised have good control effect and implement reasonable match between engine and CVT.

Research on Electronic Control System of a New-type CVT

In order to abstain from expensive and complicated hydraulic or electric-hydraulic transmission devices, moreover to reduce the oil consumption and improve power performance further, a new type of dry hybrid belt continuously variable transmission (A-CVT)s structure and work principle are introduced in this paper. The electronic control unit (TCU) has been developed, and the theoretical foundation of optimal speed ratio control of CVT is discussed profoundly. The speed ratio actuator motor is controlled through the method of PID fuzzy controller and non-linear voltage compensation. Through testing with the sample car, which is equipped with the developed TCU, when running at speed of 62.35 Km/h, the oil consumption is 5.64 L per 100 Km and the accelerating time is 22 s while up to 100 Km/h; by comparison, the oil consumption and accelerating time are 5.68 L and 23 s with original TCU in the same situation. The long-term tryout results indicate that the performance of our experimental car comes up to that of archetypal car on the whole. It has fine oil economy and power performance.

Simplorer simulation of static var generator with direct current control

Aiming at serious harm caused by reactive power of power grid, the reason why SVG can compensate the reactive power is analyzed. Direct current control based on the detection method of source current is selected. SVG with resistive inductive load is simulated by Simplorer. Operational performance is analyzed in detail. The simulation result verifies that if SVG and power grid are connected in parallel and the appropriate algorithm is adopted, there is only active power in power grid. SVG can provide needed reactive current of working load. Compensation time can change by alternating the certain system parameters. The result further supports the feasibility and efficiency of this control method.

Research on power train source matching for single-axle PHEV

The paper aims at parameter matching problems of single-axle PHEV (parallel hybrid electric vehicle) in the early stage of the design, fuel economy as the design object, and presents the parameter selection criterion of the engine, motor and battery in the dynamic system. The scope of the enginepsilas power is determined by calculating the economic cruising power of the engine, the load characteristics chart and the universal characteristic chart are given by test, and based on that, the motor and battery parameters are selected, finally, the reasonableness of the selection criterion is checked by the simulation analysis. The reasonable selection of the system parameters provides the basis for the optimization of the vehicle control strategy.

A Nonlinear Modeling Method of Switched Reluctance Motor

Due to difficult establishment of flux linkage model caused by magnetic highly saturation when Switched Reluctance Motor (SRM) operates. A new nonlinear flux linkage model (flux linkage model) for SRM is proposed in this paper. This paper used the Gauss function modeled three special position flux curve, and combined with Fourier series to get other position flux curve, then compared with the measured flux curve to verify the accuracy of the model. The simulation model is set up based on this, and its results verifies the correctness and validity of the nonlinear flux modeling approach, which lays the foundation for the further study of SRM speed regulating system.

Study of battery state-of-charge estimation for hybrid electric vehicles

Aiming at the identification problem of battery state of charge (SOC) in hybrid electric vehicle, the neural network method is applied on the battery SOC estimation to build the power battery model based on radial basis function (RBF) after considering the nonlinear relationship between the battery state of charge and the observable external characteristics. Two simulation experiments were done under the situation of constant current charging and discharging mode and dynamic vehicle driving mode. The results show that the proposed SOC estimation method is feasible and of high estimation accuracy.