Engine clutch torque estimation for parallel-type hybrid electric vehicles

2016 ◽  
Vol 18 (1) ◽  
pp. 125-135 ◽  
Author(s):  
J. Oh ◽  
S. B. Choi ◽  
Y. J. Chang ◽  
J. S. Eo
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Torque Estimation ◽  
Hybrid Electric ◽  
Engine Clutch ◽  
Parallel Type ◽  
Clutch Torque

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 Methodology for Finding Maximum Performance and Improvement Possibility of Rule-Based Control for Parallel Type-2 Hybrid Electric Vehicles

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1924 ◽  
Author(s):  
Haeseong Jeoung ◽  
Kiwook Lee ◽  
Namwook Kim
Keyword(s):  
Optimal Control ◽  
Electric Vehicles ◽  
Real World ◽  
Hybrid Electric Vehicles ◽  
Minimum Principle ◽  
Rule Based ◽  
Real World Applications ◽  
Hybrid Electric ◽  
Parallel Type

Hybrid electric vehicles (HEVs) require supervisory controllers to distribute the propulsion power from sources like an engine and motors. Control concepts based on optimal control theories such as dynamic programming (DP) and Pontryagin’s minimum principle (PMP) have been studied to maximize fuel efficiencies. These concepts are, however, not practical for real-world applications because they guarantee optimality only if future driving information is given prior to the actual driving. Instead, heuristic rule-based control concepts are widely used in real-world applications. Those concepts are not only simple enough to be designed based on existing vehicle control concepts, but also allow developers to easily intervene in the control to enhance other vital aspects of real-world vehicle performances, such as safety and drivability. In this study, a rule-based control for parallel type-2 HEVs is developed based on representative control concepts of real-world HEVs, and optimal control parameters are determined by optimization processes. The performance of the optimized rule-based control is evaluated by comparing it with the optimal results obtained by PMP, and it shows that the rule-based concepts can achieve high fuel efficiencies, which are close, typically within 4%, to the maximum values obtained by PMP.

scholarly journals A Study on the Fuel Economy Potential of Parallel and Power Split Type Hybrid Electric Vehicles

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2103 ◽  
Author(s):  
Hyunhwa Kim ◽  
Junbeom Wi ◽  
Jiho Yoo ◽  
Hanho Son ◽  
Chiman Park ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Fuel Economy ◽  
Hybrid Electric Vehicles ◽  
Improvement Rate ◽  
Power Characteristics ◽  
Power Split ◽  
Variable Transmission ◽  
Hybrid Electric ◽  
Load Leveling ◽  
Parallel Type

What is the best number of gear steps for parallel type hybrid electric vehicles (HEVs) and what are the pros and cons of the power split type HEV compared to the parallel type have been interesting issues in the development of HEVs. In this study, a comparative analysis was performed to evaluate the fuel economy potential of a parallel HEV and a power split type HEV. First, the fuel economy potential of the parallel HEV was investigated for the number of gear steps. Four-speed, six-speed, and eight-speed automatic transmissions (ATs) and a continuously variable transmission (CVT) were selected, and their drivetrain losses were considered in the dynamic programming (DP). It was found from DP results that the power electronics system (PE) loss decreased because the magnitude of the motor load leveling power decreased as the number of gear steps increased. On the other hand, the drivetrain losses including the electric oil pump (EOP) loss increased with increasing gear step. The improvement rate from the 4-speed to the 6-speed was the greatest, while it decreased for the higher gear step. The fuel economy of the CVT HEV was rather low due to the large EOP loss in spite of the reduced PE loss. In addition, the powertrain characteristics of the parallel HEV were compared with the power split type HEV. In the power split type HEV, the PE loss was almost double compared to that of the parallel HEV because two large capacity motor-generators were used. However, the drivetrain loss and EOP loss of the power split type HEV were found to be much smaller due to its relatively simple architecture. It is expected that the power characteristics of the parallel and power split type HEVs obtained from the DP results can be used in the development of HEV systems.

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

Torque control of engine clutch to improve the driving quality of hybrid electric vehicles

2011 ◽  
Vol 12 (5) ◽  
pp. 763-768 ◽  
Author(s):  
H. S. Hwang ◽  
D. H. Yang ◽  
H. K. Choi ◽  
H. S. Kim ◽  
S. H. Hwang
Keyword(s):  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Torque Control ◽  
Hybrid Electric ◽  
Engine Clutch
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