Qin Datong

Regenerative braking control strategy in mild hybrid electric vehicles equipped with automatic manual transmission

The actual regenerative braking force of an integrated starter/generator (ISG), which is varied with desired braking deceleration and vehicle speed, is calculated based on an analysis of the required deceleration, maximum braking force of ISG, engine braking force and state of charge (SOC) of battery. Braking force distribution strategies are presented according to the actual regenerative braking force of ISG. To recover the vehicle’s kinetic energy maximally, braking shift rules for a mild hybrid electric vehicle (HEV) equipped with automatic manual transmission (AMT) are brought forward and effects of transmission ratios are considered. A test-bed is built up and regenerative braking tests are carried out. The results show that power recovered by the braking shift rules is more than that recovered by the normal braking control rules.

Model Based Fault Diagnosis of the Clamp Force Control System of Continuously Variable Transmission

On-line diagnosis is one of the most important modules in the control software of Continuously Variable Transmission (CVT). With the development of a prototype CVT, fault diagnosis method of the clamp force control system was developed. Configuration and working mechanism of the clamp force control system was analyzed in detail, based on which mathematic model of the system was established using bond graph theory. Precision of the model was then tested by experiment, and the test results indicated that the model was precise enough for diagnosis use. Fault diagnosis algorithm of the clamp force control system was developed based on the model. Experiment indicated that the proposed diagnosis method of the clamp force control system was effective.

Application of the BP Neural Network in the Checking and Controlling Emission of Vehicle Engines

This paper discusses the application of the BP Neural Network in checking and controlling the emission of vehicle engines based on the principle of the neural network. The mathematical model of the BP Neural Network is established. This checking technology is a new method for testing and experiment the vehicle emission and it is very important in studying and researching the automobile emission.