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Heavy duty vehicle fuel consumption modeling using artificial neural networks
2019
2019 25th International Conference on Automation and Computing (ICAC)
In this paper an artificial neural network (ANN) approach to modelling fuel consumption of heavy duty vehicles is presented. The proposed method uses easy accessible data collected via CAN bus of the truck. As a benchmark a conventional method, which is based on polynomial regression model, is used. The fuel consumption is measured in two different tests, performed by using a unique test bench to apply the load to the engine. Firstly, a transient state test was performed, in order to evaluate
doi:10.23919/iconac.2019.8895072
dblp:conf/iconac/WysockiDE19
fatcat:n75b245fwzhlvcnhe4h6r54qgu