Online Optimal Energy Distribution of Composite Power Vehicles Based on BP Neural Network Velocity Prediction

Online Optimal Energy Distribution of Composite Power Vehicles Based on BP Neural Network Velocity Prediction

In this paper, an online optimal energy distribution method is proposed for composite power vehicles using BP neural network velocity prediction. Firstly, the predicted vehicle speed in the future period is obtained via the output of a BP neural network, where the current vehicle driving state and e...

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Bibliographic Details
Main Authors: Qingjian Jiang, Zhijun Fu, Qiang Hu
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2021/2519569
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spelling doaj-7c93434aa3454a389f5ad412f680d1d72021-09-27T00:51:54ZengHindawi LimitedMathematical Problems in Engineering1563-51472021-01-01202110.1155/2021/2519569Online Optimal Energy Distribution of Composite Power Vehicles Based on BP Neural Network Velocity PredictionQingjian Jiang0Zhijun Fu1Qiang Hu2Henan Institute of Economics and TradeCollege of Mechanical and Electrical EngineeringCollege of Mechanical EngineeringIn this paper, an online optimal energy distribution method is proposed for composite power vehicles using BP neural network velocity prediction. Firstly, the predicted vehicle speed in the future period is obtained via the output of a BP neural network, where the current vehicle driving state and elapsed vehicle speed information is used as the input. Then, according to the predicted vehicle speed, an energy management method based on model predictive control is proposed, and online real-time power distribution is carried out through rolling optimization and feedback correction. Cosimulation results under urban drive cycle show that the proposed method can effectively improve the energy efficiency of composite power sources compared with the commonly used method with the assumption of prior known driving conditions.http://dx.doi.org/10.1155/2021/2519569
collection DOAJ
language English
format Article
sources DOAJ
author Qingjian Jiang
Zhijun Fu
Qiang Hu
spellingShingle Qingjian Jiang
Zhijun Fu
Qiang Hu
Online Optimal Energy Distribution of Composite Power Vehicles Based on BP Neural Network Velocity Prediction
Mathematical Problems in Engineering
author_facet Qingjian Jiang
Zhijun Fu
Qiang Hu
author_sort Qingjian Jiang
title Online Optimal Energy Distribution of Composite Power Vehicles Based on BP Neural Network Velocity Prediction
title_short Online Optimal Energy Distribution of Composite Power Vehicles Based on BP Neural Network Velocity Prediction
title_full Online Optimal Energy Distribution of Composite Power Vehicles Based on BP Neural Network Velocity Prediction
title_fullStr Online Optimal Energy Distribution of Composite Power Vehicles Based on BP Neural Network Velocity Prediction
title_full_unstemmed Online Optimal Energy Distribution of Composite Power Vehicles Based on BP Neural Network Velocity Prediction
title_sort online optimal energy distribution of composite power vehicles based on bp neural network velocity prediction
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1563-5147
publishDate 2021-01-01
description In this paper, an online optimal energy distribution method is proposed for composite power vehicles using BP neural network velocity prediction. Firstly, the predicted vehicle speed in the future period is obtained via the output of a BP neural network, where the current vehicle driving state and elapsed vehicle speed information is used as the input. Then, according to the predicted vehicle speed, an energy management method based on model predictive control is proposed, and online real-time power distribution is carried out through rolling optimization and feedback correction. Cosimulation results under urban drive cycle show that the proposed method can effectively improve the energy efficiency of composite power sources compared with the commonly used method with the assumption of prior known driving conditions.
url http://dx.doi.org/10.1155/2021/2519569
work_keys_str_mv AT qingjianjiang onlineoptimalenergydistributionofcompositepowervehiclesbasedonbpneuralnetworkvelocityprediction
AT zhijunfu onlineoptimalenergydistributionofcompositepowervehiclesbasedonbpneuralnetworkvelocityprediction
AT qianghu onlineoptimalenergydistributionofcompositepowervehiclesbasedonbpneuralnetworkvelocityprediction
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