Support vector machine–based driving cycle recognition for dynamic equivalent fuel consumption minimization strategy with hybrid electric vehicle
For a great influence on the fuel economy and exhaust, driving cycle recognition is becoming more and more widely used in hybrid electric vehicles. The purpose of this study is to develop a method to identify the type of driving cycle in real time with better accuracy and apply the driving cycle rec...
Main Authors: | QIN Shi, Duoyang Qiu, Lin He, Bing Wu, Yiming Li |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2018-11-01
|
Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1177/1687814018811020 |
Similar Items
-
Driving Cycle Recognition Based Adaptive Equivalent Consumption Minimization Strategy for Hybrid Electric Vehicles
by: Dongdong Chen, et al.
Published: (2022-01-01) -
Trip distance adaptive equivalent hydrogen consumption minimization strategy for fuel-cell electric vehicles integrating driving cycle prediction
by: Xinyou LIN, et al.
Published: (2024-02-01) -
Equivalent Consumption Minimization Strategy of Hybrid Electric Vehicle Integrated with Driving Cycle Prediction Method
by: Dacheng Ni, et al.
Published: (2023-05-01) -
Construction of Johor driving cycle for determination of vehicle fuel consumption /
by: Nur Shaziera Zaharri, 1996-, author 625338, et al.
Published: (2019) -
Construction of Johor driving cycle for determination of vehicle fuel consumption /
by: Nur Shaziera Zaharri, 1996-, author 625338
Published: (2019)