Abstract
The fuzzy logic inference system was developed to identify driving intention. The membership functions and rules of the fuzzy logic inference system were built by using mathematical statistics and neural network. The vehicle model was built based on a series–parallel hybrid vehicle using Cruise software. The driving intention inference system was designed in Simulink. The simulation is done based on Cruise and Simulink. The simulation results prove that the fuzzy inference system can identify driving intentions excellently and the control strategy based on driving intentions can help to reduce more fuel consumption.
F2012-B02-015
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Wang, Q., Tang, X., Sun, L. (2013). Driving Intention Identification Method for Hybrid Vehicles Based on Fuzzy Logic Inference. In: Proceedings of the FISITA 2012 World Automotive Congress. Lecture Notes in Electrical Engineering, vol 191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33777-2_22
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DOI: https://doi.org/10.1007/978-3-642-33777-2_22
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