Application of neural network to downhill shift strategy for automatic transmission |
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Authors: | Yao Li Fan Yu Chen Wu |
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Institution: | [1]State Key Laboratory Mechanical System and Vibration [2]National Automotive Electronics Engineering Laboratory, Shanghai Jiaotong University, Shanghai 200240, China |
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Abstract: | A method is proposed to estimate the longitudinal road gradient with a concept “general gradient force (GGF)”, in which uncertain
factors such as additional vertical load, road surface change, and strong wind are also taken into account. An adaptive downhill
shift control system is then developed to help driver to use the engine brake with lower gears while downhill driving. In
the adaptive system, a three-layer neural network is built to evaluate the necessity to make use of engine brake capability
in current downhill situation, and the neural network is trained with samples from experienced drivers. Field test results
of the adaptive system are introduced to verify the effectiveness of the approach mentioned above. |
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Keywords: | |
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