Zero overshoot speed controller with active damping for improving engine clutch engagement performance

2020 ◽  
Vol 20 (2) ◽  
pp. 538-552
Author(s):  
Byunghoon Yang ◽  
Taehee Jung ◽  
Youngkwan Ko ◽  
Junmo An ◽  
Hyungsoo Mok
Keyword(s):  
Active Damping ◽  
Speed Controller ◽  
Clutch Engagement ◽  
Engine Clutch

scholarly journals A Study on the Anomaly Detection of Engine Clutch Engagement/Disengagement Using Machine Learning for Transmission Mounted Electric Drive Type Hybrid Electric Vehicles

2021 ◽  
Vol 11 (21) ◽  
pp. 10187
Author(s):  
Yonghyeok Ji ◽  
Seongyong Jeong ◽  
Yeongjin Cho ◽  
Howon Seo ◽  
Jaesung Bang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Anomaly Detection ◽  
Electric Vehicles ◽  
Electric Drive ◽  
Hybrid Electric Vehicles ◽  
Short Term Memory ◽  
Support Vector ◽  
Clutch Engagement ◽  
Hybrid Electric ◽  
Engine Clutch

Transmission mounted electric drive type hybrid electric vehicles (HEVs) engage/disengage an engine clutch when EV↔HEV mode transitions occur. If this engine clutch is not adequately engaged or disengaged, driving power is not transmitted correctly. Therefore, it is required to verify whether engine clutch engagement/disengagement operates normally in the vehicle development process. This paper studied machine learning-based methods for detecting anomalies in the engine clutch engagement/disengagement process. We trained the various models based on multi-layer perceptron (MLP), long short-term memory (LSTM), convolutional neural network (CNN), and one-class support vector machine (one-class SVM) with the actual vehicle test data and compared their results. The test results showed the one-class SVM-based models have the highest anomaly detection performance. Additionally, we found that configuring the training architecture to determine normal/anomaly by data instance and conducting one-class classification is proper for detecting anomalies in the target data.

scholarly journals The LSTM-based Engine Clutch Engagement/Disengagement Anomaly Detection Algorithm for P2 HEV

2021 ◽  
Vol 29 (12) ◽  
pp. 1133-1146
Author(s):  
Yonghyeok Ji ◽  
Hyeongcheol Lee
Keyword(s):  
Anomaly Detection ◽  
Detection Algorithm ◽  
Clutch Engagement ◽  
Engine Clutch

A Study on the Control Algorithm for Engine Clutch Engagement During Mode Change of Plug-in Hybrid Electric Vehicles

2016 ◽  
Vol 40 (9) ◽  
pp. 801-805
Author(s):  
Kyuhyun Sim ◽  
Suji Lee ◽  
Choul Namkoong ◽  
Ji-Suk Lee ◽  
Kwan-Soo Han ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Control Algorithm ◽  
Hybrid Electric Vehicles ◽  
Mode Change ◽  
Clutch Engagement ◽  
Hybrid Electric ◽  
Engine Clutch

The Engine Clutch Engagement Control for Hybrid Electric Vehicles

2018 ◽  
Author(s):  
Jae Sung Bang ◽  
Seok Hwan Choi ◽  
Young Kwan Ko ◽  
Tae Soo Kim ◽  
Sangjoon Kim
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Clutch Engagement ◽  
Hybrid Electric ◽  
Engine Clutch

μ- SYNTHESIS OF ROBUST SPEED CONTROLLER OF SYNCHRONOUS ELECTRIC DRIVES

2015 ◽  
Vol 20 (96) ◽  
pp. 42-50
Author(s):  
Dmitrij I. Morozov ◽  
◽  
Evgenij S. Rudnev ◽  
Keyword(s):  
Electric Drives ◽  
Speed Controller

ACTIVE DAMPING OF COMBUSTION INSTABILITIES WITH OSCILLATORY LIQUID FUEL SPRAYS

2002 ◽  
Vol 5 (1-6) ◽  
pp. 814-824
Author(s):  
E. Lubarsky ◽  
Y. Neumeier ◽  
B. T. Zinn
Keyword(s):  
Liquid Fuel ◽  
Active Damping ◽  
Combustion Instabilities ◽  
Fuel Sprays
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