Hybrid-learning-based classification and quantitative inference of driver braking intensity of an electrified vehicle

Hybrid-learning-based classification and quantitative inference of driver braking intensity of an electrified vehicle

The recognition of driver's braking intensity is of great importance for advanced control and energy management for electric vehicles. In this paper, the braking intensity is classified into three levels based on novel hybrid unsupervised and supervised learning methods. First, instead of selec...

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Bibliographic Details
Main Authors: Lv, Chen, Xing, Yang, Lu, Chao, Liu, Yahui, Guo, Hongyan, Gao, Hongbo, Cao, Dongpu
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2019
Subjects:
Hybrid Learning
Random Forest
Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/105882
http://hdl.handle.net/10220/50054
http://dx.doi.org/10.1109/TVT.2018.2808359

Internet

https://hdl.handle.net/10356/105882
http://hdl.handle.net/10220/50054
http://dx.doi.org/10.1109/TVT.2018.2808359

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