2018
DOI: 10.1177/1687814018809236
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Abstract: Electrical energy consumption is an important component of energy consumption for internal combustion engine vehicle, which directly affects the fuel economy. A bus-based electrical energy management system is built, and an electrical energy management strategy based on driving cycle recognition and electrical load perception is presented to achieve the refined management of vehicle energy. Six typical driving cycles are selected to establish an improved learning vector quantization neural network model for dr… Show more

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Cited by 2 publications
(2 citation statements)
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References 27 publications
(37 reference statements)
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“…The authors [19] designed a power management system based on the bus structure strategy to obtain refined control of vehicle energy. The authors used improved learning vector quantization neural networks and gradient optimization to achieve their goals.…”
Section: Dcr (Driving Cycle Recognition) and Elp (Electrical Load Per...mentioning
confidence: 99%
“…The authors [19] designed a power management system based on the bus structure strategy to obtain refined control of vehicle energy. The authors used improved learning vector quantization neural networks and gradient optimization to achieve their goals.…”
Section: Dcr (Driving Cycle Recognition) and Elp (Electrical Load Per...mentioning
confidence: 99%
“…is model processes information through a large number of neurons with nonlinear mapping ability. In the network, neurons are organized in the form of hierarchical structure [15][16][17][18], and the processing units on each layer are connected with neurons on other layers in a weighted way. Using error back propagation, a three-layer forward neural network model is obtained, with the specific structure as shown in Figure 1.…”
Section: Design Of Fault Diagnosis Structure Of Electrical Equipment ...mentioning
confidence: 99%