Energies 2012, 5(9), 3363-3380; doi:10.3390/en5093363
Article

A Method for Identification of Driving Patterns in Hybrid Electric Vehicles Based on a LVQ Neural Network

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Received: 9 July 2012; in revised form: 17 August 2012 / Accepted: 24 August 2012 / Published: 5 September 2012
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Abstract: Driving patterns exert an important influence on the fuel economy of vehicles, especially hybrid electric vehicles. This paper aims to build a method to identify driving patterns with enough accuracy and less sampling time compared than other driving pattern recognition algorithms. Firstly a driving pattern identifier based on a Learning Vector Quantization neural network is established to analyze six selected representative standard driving cycles. Micro-trip extraction and Principal Component Analysis methods are applied to ensure the magnitude and diversity of the training samples. Then via Matlab/Simulink, sample training simulation is conducted to determine the minimum neuron number of the Learning Vector Quantization neural network and, as a result, to help simplify the identifier model structure and reduce the data convergence time. Simulation results have proved the feasibility of this method, which decreases the sampling window length from about 250–300 s to 120 s with an acceptable accuracy. The driving pattern identifier is further used in an optimized co-simulation together with a parallel hybrid vehicle model and improves the fuel economy by about 8%.
Keywords: hybrid electric vehicles; LVQ; neural network; driving pattern recognition; simulation; fuel economy
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

He, H.; Sun, C.; Zhang, X. A Method for Identification of Driving Patterns in Hybrid Electric Vehicles Based on a LVQ Neural Network. Energies 2012, 5, 3363-3380.

AMA Style

He H, Sun C, Zhang X. A Method for Identification of Driving Patterns in Hybrid Electric Vehicles Based on a LVQ Neural Network. Energies. 2012; 5(9):3363-3380.

Chicago/Turabian Style

He, Hongwen; Sun, Chao; Zhang, Xiaowei. 2012. "A Method for Identification of Driving Patterns in Hybrid Electric Vehicles Based on a LVQ Neural Network." Energies 5, no. 9: 3363-3380.


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