Zhou Meilan

Intelligent fuzzy energy management research for a uniaxial parallel hybrid electric vehicle

An intelligent fuzzy control strategy is proposed for parallel hybrid electric vehicle.The membership functions of fuzzy controller are optimized by genetic algorithm.Electric vehicle co-simulation technology is a good application. In this paper, an intelligent fuzzy logic control strategy optimized by genetic algorithm (GA) has been proposed for uniaxial parallel hybrid electric vehicle (PHEV), in the fuzzy controller, the ratio between the motor target torque and the total demand torque is the first input variable, and the state of charge (SOC) of the battery is the second input variable. The torque distribution coefficient between the engine and the motor is as the output variable. The proposed strategy is compared to the electric auxiliary control strategy. The whole vehicle is modeled based on experimental data and the strategy is verified in automotive simulation software ADVISOR, the results show that the proposed control strategy can reduce fuel consumption, reduce emissions, ensure balanced charging and discharging of the battery, effectively avoid the production of the engine peak torque, and improve the overall performance of the vehicle. Display Omitted

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.