Title :
Fuzzy neural networks application for road vehicle energy consumption management
Author :
Rizzotto, G. ; Lo Presti, M. ; Di Marco, F. ; Berta, G. ; Lanzafame, R.
Author_Institution :
SGS-Thomson Microelectron., Agrate Brianza, Italy
Abstract :
The energy consumption of road vehicles depends on many parameters, that cannot be taken into account by meant of the traditional analysis systems. The aim of this work is to compare the efficiency of Fuzzy Logic with that of traditional mathematical method, to determinate the road fuel consumption model by using only four measured variables of a vehicle driven in heavy city traffic conditions
Keywords :
fuzzy control; fuzzy logic; neural nets; road vehicles; energy consumption management; fuzzy neural networks; heavy city traffic; road fuel consumption model; road vehicle; Automatic control; Energy consumption; Energy management; Engines; Fuels; Fuzzy logic; Fuzzy neural networks; Road vehicles; Steady-state; Vehicle driving;
Conference_Titel :
Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2125-1
DOI :
10.1109/IJCF.1994.375145
