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@article{ART002329089},
author={Jiyoung Woo and In-Beom Yang},
title={Long-term Driving Data Analysis of Hybrid Electric Vehicle},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2018},
volume={23},
number={3},
pages={63-70},
doi={10.9708/jksci.2018.23.03.063}

TY - JOUR
AU - Jiyoung Woo
AU - In-Beom Yang
TI - Long-term Driving Data Analysis of Hybrid Electric Vehicle
JO - Journal of The Korea Society of Computer and Information
PY - 2018
VL - 23
IS - 3
PB - The Korean Society Of Computer And Information
SP - 63
EP - 70
SN - 1598-849X
AB - In this work, we analyze the relationship between the accumulated mileage of hybrid electric vehicle(HEV) and the data provided from vehicle parts. Data were collected while traveling over 70,000 Km in various paths. The data collected in seconds are aggregated for 10 minutes and characterized in terms of centrality, variability, normality, and so on. We examined whether the statistical properties of vehicle parts are different for each cumulative mileage interval of a hybrid car. When the cumulative mileage interval is categorized into =< 30,000, <= 50,000, and >50,000, the statistical properties are classified by the mileage interval as 82.3% accuracy. This indicates that if the data of the vehicle parts is collected by operating the hybrid vehicle for 10 minutes, the cumulative mileage interval of the vehicle can be estimated. This makes it possible to detect the abnormality of the vehicle part relative to the accumulated mileage. It can be used to detect abnormal aging of vehicle parts and to inform maintenance necessity.
KW - Hybrid electric vehicle;OBD-II;Driving data;Mileage;Machine learning
DO - 10.9708/jksci.2018.23.03.063
ER -

Jiyoung Woo and In-Beom Yang. (2018). Long-term Driving Data Analysis of Hybrid Electric Vehicle. Journal of The Korea Society of Computer and Information, 23(3), 63-70.

Jiyoung Woo and In-Beom Yang. 2018, "Long-term Driving Data Analysis of Hybrid Electric Vehicle", Journal of The Korea Society of Computer and Information, vol.23, no.3 pp.63-70. Available from: doi:10.9708/jksci.2018.23.03.063

Jiyoung Woo, In-Beom Yang "Long-term Driving Data Analysis of Hybrid Electric Vehicle" Journal of The Korea Society of Computer and Information 23.3 pp.63-70 (2018) : 63.

Jiyoung Woo, In-Beom Yang. Long-term Driving Data Analysis of Hybrid Electric Vehicle. 2018; 23(3), 63-70. Available from: doi:10.9708/jksci.2018.23.03.063

Jiyoung Woo and In-Beom Yang. "Long-term Driving Data Analysis of Hybrid Electric Vehicle" Journal of The Korea Society of Computer and Information 23, no.3 (2018) : 63-70.doi: 10.9708/jksci.2018.23.03.063

Jiyoung Woo; In-Beom Yang. Long-term Driving Data Analysis of Hybrid Electric Vehicle. Journal of The Korea Society of Computer and Information, 23(3), 63-70. doi: 10.9708/jksci.2018.23.03.063

Jiyoung Woo; In-Beom Yang. Long-term Driving Data Analysis of Hybrid Electric Vehicle. Journal of The Korea Society of Computer and Information. 2018; 23(3) 63-70. doi: 10.9708/jksci.2018.23.03.063

Jiyoung Woo, In-Beom Yang. Long-term Driving Data Analysis of Hybrid Electric Vehicle. 2018; 23(3), 63-70. Available from: doi:10.9708/jksci.2018.23.03.063

Jiyoung Woo and In-Beom Yang. "Long-term Driving Data Analysis of Hybrid Electric Vehicle" Journal of The Korea Society of Computer and Information 23, no.3 (2018) : 63-70.doi: 10.9708/jksci.2018.23.03.063