Control strategy for PHEB based on actual driving cycle with driving style characteristic
type: Item
instance of: scholarly article
title: Control strategy for PHEB based on actual driving cycle with driving style characteristic
zbMATH Open document ID: 1416.93141
DOI: 10.1155/2019/1496202
author: Jianping Gao
author: Zhenhai Xu
author: Xiaojie Gao
published in: Journal of Control Science and Engineering
publication date: 2019-06-26T00:00:00Z
review text: Summary: To exert fully the energy economy performance of plug-in hybrid electric buses (PHEBs) and enhance the adaptability to different drivers and driving cycles, a control strategy for PHEB based on actual driving cycle with driving style characteristic is proposed in this paper. Through the actual city bus driving data, collected in real time, 6 actual driving cycles with driving style characteristic are fitted by using principal component analysis (PCA) and cluster analysis (CA). Based on the 6 driving cycles, the key parameters of rule-based control strategy are optimized and established by a combinatorial optimization algorithm in Isight. Then, an identification model to recognize the current condition based on the learning vector quantization (LVQ) neural network has been built and trained offline, which is integrated in the control strategy for PHEB to invoke the corresponding optimized key control parameters in real time. A hardware-in-the-loop (HIL) test is conducted, and the result shows that the proposed strategy could improve the energy consumption by 4.94\%, compared with the original rule-based control strategy, and its validity and practicability are fully verified.
Mathematics Subject Classification ID: 93C95
Mathematics Subject Classification ID: 93B40
Mathematics Subject Classification ID: 90B06
zbMATH DE Number: 7073708
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2019/1496202
OpenAlex ID: W2943131220
cites work: Fault diagnosis method based on gap metric data preprocessing and principal component analysis
cites work: Image recognition based on two-dimensional principal component analysis combining with wavelet theory and frame theory
cites work: Evolutionary Statistical Procedures
Wikidata QID: Q127929898
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description: scientific article; zbMATH DE number 7073708