基于ANFIS的工况跟踪用纵向驾驶员模型开发

doi:10.19562/j.chinasae.qcgc.2019.07.013

Abstract

Abstract: In view of the poor results of driving cycle tracking with PI control-based longitudinal driver model, the longitudinal driving behavior data of a tested PHEV are collected, the longitudinal driver models with two input parameters and preview longitudinal driver models with consideration of the effects of future expected vehicle speed are established by using adaptive network-based fuzzy inference system (ANFIS). The results of simulation show that the ANFIS-based preview longitudinal driver model has the best tracking effect of operation conditions with a root mean square error of 0.993 0 km/h, and the accelerator pedal travel, gear position and desired torque worked out are closest to the results of real vehicle test

Key words: longitudinal driver model, ANFIS, preview

Shen Peihong, Zhao Zhiguo ,Guo Qiuyi. Development of Longitudinal Driver Model for Driving Cycle Tracking Based on ANFIS[J].Automotive Engineering, 2019, 41(7): 815-822.

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Development of Longitudinal Driver Model for Driving Cycle Tracking Based on ANFIS

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