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The paper details an analytical redundancy fault diagnosis method of automated mechanical transmission (AMT) control system. The basic principle of AMT is depicted. After concisely introducing the models of engine, gear box and clutch, which are used to provide redundant information, the diagnostic logic is illustrated in detail. The information redundancy in the local models of the powertrain and the structure logic relations among the assemblages is used to detect and diagnose the faults of the sensors, the actuators and the unit assemblages of the AMT system. The fault codes and fault process measures are listed out.

In the paper, the research and design work of an automotive safety device is introduced. The device can automatically range, display the distance between the automobile and obstacle and sound alarm at a frequency varying with the distance. Equipped with the device, automobiles can avoid collision caused by drivers not noticing obstacles or not properly estimating the distance between automobile and obstacles when backing up. In the paper, the principle, the software, the hardware and the anti-interference technology of the device are concisely depicted. Test results showed that it is effective in collision avoidance.

The paper introduces an on-board fault diagnosis strategy based on analytical redundancy suit for automated mechanical transmission (AMT). Through experiment and theory analysis an identified engine model, a gear box model and a dry clutch model controlled by hydraulic actuators are respectively established. The information redundancy in the local models of the power train and the structure logic relations among the assemblages is used to detect and diagnose the fault in the sensors, the actuators and the unit assemblages of the AMT system. The method has been used in the AMT control system developed for the SVWSANTANA2000.