Control strategies study on armored vehicle hybrid electric drive braking system based on maximum energy feedback

2011 ◽  
Author(s):  
Hua Li ◽  
Da Xu ◽  
Hai Lin ◽  
Jian Zhang
Keyword(s):  
Electric Drive ◽  
Control Strategies ◽  
Maximum Energy ◽  
Energy Feedback ◽  
Braking System ◽  
Hybrid Electric ◽  
Armored Vehicle

Research on Engine Cranking Process in Downhill Braking Condition for an Electric Drive Underground Dump Truck

2013 ◽  
Vol 364 ◽  
pp. 92-96 ◽  
Author(s):  
Shu Yang Zheng ◽  
Chun Jin
Keyword(s):  
Electric Drive ◽  
High Speed ◽  
Synchronous Motor ◽  
Dump Truck ◽  
Zero Crossing ◽  
Energy Feedback ◽  
Braking System ◽  
Speed Sensor ◽  
Ac Power ◽  
Searching Method

The retarder braking system of an electric drive dump truck is introduced in this paper. When the truck is going downhill at a low speed, part of the braking energy is consumed by braking resistance system, other energy is changed into AC power by inverter module, the diesel engine is dragged from an idling speed to a high speed by the synchronous motor, energy feedback is realized. In this paper, to achieve synchronous motor starting, a zero crossing detection and frequency searching method based on rotor speed sensor is used,.The experiment shows the engine is started steadily and the current shock becomes flat.

Study of Dynamic Simulation on Driving System and Modeling Motor for Electric Drive Application of Armored Vehicles

2014 ◽  
Vol 543-547 ◽  
pp. 286-290
Author(s):  
Zi Li Liao ◽  
Gui Bing Yang ◽  
Jia Qi Li ◽  
Ming Zhao
Keyword(s):  
Control System ◽  
Dynamic Simulation ◽  
Electric Drive ◽  
Mathematic Model ◽  
Permanent Magnet Motor ◽  
Driving System ◽  
Electric Drive System ◽  
Interior Permanent Magnet ◽  
Armored Vehicle ◽  
Interior Permanent Magnet Motor

Establish an IPM(Interior Permanent Magnet) motor mathematic model based on saturated inductance parameters. This model aimed at the traction motor of electric drive system of a certain armored vehicle. Driving control system was established on SIMULINK platform, and the consequence was analyzed.

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.

Minimizing Seat Track Vibration That is Caused by the Automatic Start/Stop of an Engine in a Power-Split Hybrid Electric Vehicle

2013 ◽  
Vol 135 (6) ◽  
Author(s):  
Hsiu-Ying Hwang
Keyword(s):  
Hybrid Electric Vehicle ◽  
Internal Combustion Engines ◽  
Hybrid Electric Vehicles ◽  
Control Strategies ◽  
Effective Means ◽  
Combustion Engines ◽  
Crank Angle ◽  
Power Split ◽  
Hybrid Electric ◽  
Reaction Torque

The use of hybrid electric vehicles is an effective means of reducing pollution and improving fuel economy. Certain vehicle control strategies commonly automatically shut down or restart the internal combustion engines of hybrid vehicles to improve their fuel consumption. Such an engine autostart/stop is not engaged or controlled by the driver. Drivers often do not expect or prepare for noticeable vibrations, noise, or an unsmooth transition when the engine is autostarted/stopped. Unsmooth engine autostart/stop transitions can cause driveline vibrations, making the ride uncomfortable and the customer dissatisfied with the vehicle. This research simulates the dynamic behaviors associated with the neutral starting and stopping of a power-split hybrid vehicle. The seat track vibration results of analysis and hardware tests of the baseline control strategy are correlated. Several antivibration control strategies are studied. The results reveal that pulse cancellation and the use of a damper bypass clutch can effectively reduce the fluctuation of the engine block reaction torque and the vibration of the seat track by more than 70% during the autostarting and stopping of the engine. The initial crank angle can have an effect on the seat track vibration as well.

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