In-Vehicle Test Results for Advanced Propulsion and Vehicle System Controls Using Connected and Automated Vehicle Information

2021 ◽  
Author(s):  
Shreshta Rajakumar Deshpande ◽  
Shobhit Gupta ◽  
Dennis Kibalama ◽  
Nicola Pivaro ◽  
Marcello Canova ◽  
...  
Keyword(s):  
Test Results ◽  
Automated Vehicle ◽  
Vehicle System ◽  
Vehicle Test ◽  
Vehicle Information

scholarly journals Pressure Estimation Based on Vehicle Dynamics Considering the Evolution of the Brake Linings’ Coefficient of Friction

Actuators ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 76
Author(s):  
Biaofei Shi ◽  
Lu Xiong ◽  
Zhuoping Yu
Keyword(s):  
Coefficient Of Friction ◽  
Measurement Unit ◽  
Vehicle Speed ◽  
Test Results ◽  
Brake Pressure ◽  
Slope Change ◽  
Pressure Estimation ◽  
Vehicle Test ◽  
Vehicle Information ◽  
Road Slope

To mitigate the issue of low accuracy and poor robustness of the master cylinder pressure estimation (MCPE) of the electro-hydraulic brake system (EHB) by adopting EHB’s own information, a MCPE algorithm based on vehicle information considering the evolution of the brake linings’ coefficient of friction (BLCF) is proposed. First, the MCPE algorithm was derived combining the vehicle longitudinal dynamics and the wheel dynamics, in which the inertial measurement unit (IMU) was adopted to adapt the MCPE algorithm to road slope change. In order to estimate the brake pressure accurately, the driving resistance of the vehicle was obtained through a vehicle test under coasting condition. After that, with the active braking function of EHB, the evolution of the BLCF was acquired through extensive real vehicle test under different initial temperatures, different initial vehicle speeds, and different brake pressures. According to the test results, a revised model of the BLCF is proposed. Finally, the performance of the MCPE based on the revised BLCF model was compared with that based on a fixed BLCF model. Vehicle test demonstrates that the former MCPE algorithm is not only more accurate at low vehicle speed than the later, but also robust to road slope change.

scholarly journals Concept of an Ontology for Automated Vehicle Behavior in the Context of Human-Centered Research on Automated Driving Styles

Information ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 21
Author(s):  
Johannes Ossig ◽  
Stephanie Cramer ◽  
Klaus Bengler
Keyword(s):  
Driving Behavior ◽  
Automation System ◽  
Automated Driving ◽  
Driving Style ◽  
Driving Experience ◽  
Automated Vehicle ◽  
Future Design ◽  
Vehicle System ◽  
The Future ◽  
Conceptual Distinction

In the human-centered research on automated driving, it is common practice to describe the vehicle behavior by means of terms and definitions related to non-automated driving. However, some of these definitions are not suitable for this purpose. This paper presents an ontology for automated vehicle behavior which takes into account a large number of existing definitions and previous studies. This ontology is characterized by an applicability for various levels of automated driving and a clear conceptual distinction between characteristics of vehicle occupants, the automation system, and the conventional characteristics of a vehicle. In this context, the terms ‘driveability’, ‘driving behavior’, ‘driving experience’, and especially ‘driving style’, which are commonly associated with non-automated driving, play an important role. In order to clarify the relationships between these terms, the ontology is integrated into a driver-vehicle system. Finally, the ontology developed here is used to derive recommendations for the future design of automated driving styles and in general for further human-centered research on automated driving.

Automotive Cabin Filtration In-Vehicle Test Results

1994 ◽  
Author(s):  
Robert J. Hutter ◽  
Samuel E. Lee ◽  
Kenneth L. Rubow ◽  
Benjamin Y. H. Liu
Keyword(s):  
Test Results ◽  
Vehicle Test

Utilization of ADAS for Improving Idle Stop-and-Go Control

2018 ◽  
Author(s):  
Kwangwoo Jeong ◽  
Hoon Lee ◽  
Jaihyun Lee ◽  
Sanghoon Yoo ◽  
Byungho Lee ◽  
...  
Keyword(s):  
Control Algorithm ◽  
Traffic Information ◽  
Test Results ◽  
Driver Assistance ◽  
Control Logic ◽  
Traffic Sign ◽  
Sign Recognition ◽  
Stop Sign ◽  
Stop And Go ◽  
Vehicle Test

Idle Stop and Go (ISG), also known as Automatic Engine Stop/Start, has been widely implemented in production vehicles as one of the “Eco” functions that save fuel, and the application has been promoted to meet stringent fuel economy regulations throughout the world. However, the vibration and the hesitation caused by engine stop and restart often discourage the usage. Because a conventional ISG system usually restarts the engine when it sees the brake pedal release, the driver may perceive a delay in immediate vehicle launch. Furthermore, there are some driving conditions where engine on/off is undesirable or unnecessary. A quick stop-and-go situation such as making a complete stop at a stop sign is one of the conditions where ISG would be inappropriate, and in those cases, ISG may irritate the driver or even end up increasing fuel consumption with too frequent engine stop/start. In order to mitigate aforementioned issues, a utilization of Advanced Driver Assistance System (ADAS) is proposed. With the surrounding traffic information obtained from the ADAS module, ISG control algorithm is able to determine when to turn on or off the engine prior to driver’s input. The applications demonstrated in this paper include the following usage examples: The ISG control logic monitors the movement of the vehicle in front and restarts the engine out of ISG mode before brake release, which eliminates the delay in the following vehicle launch. By employing traffic sign recognition and vehicle location info, the control logic is also able to inhibit engine off when the vehicle stops at stop signs which will avoid unwanted ISG activation. In this paper, the advanced ISG control logic is introduced, and the real-world vehicle test results are provided with the description of prototype vehicle configuration.

A Study on the Safety Verification Method of Automated Vehicle System

2019 ◽  
Vol 44 (2) ◽  
pp. 444-450
Author(s):  
Bong-Seob Kim ◽  
Ji-Soo Park ◽  
Tae-Ho Lim ◽  
Kyungsu Yun
Keyword(s):  
Safety Verification ◽  
Verification Method ◽  
Automated Vehicle ◽  
Vehicle System

The new method of initial calibration with the wheel force transducer

Sensor Review ◽  
2014 ◽  
Vol 34 (1) ◽  
pp. 98-109 ◽  
Author(s):  
Dong Wang ◽  
Guoyu Lin ◽  
Wei-gong Zhang ◽  
Ning Zhao ◽  
Han Pang
Keyword(s):  
Force Transducer ◽  
New Method ◽  
Test Results ◽  
Content Type ◽  
Initial Values ◽  
Data Process ◽  
Force Transducers ◽  
Value Determination ◽  
Vehicle Test ◽  
Real Vehicle

Purpose – One of the major shortcomings in the data process of the traditional wheel force transducers (WFTs) is the theoretical errors of initial value determination. A new method to identify the initial values of the WFT for the solution of this problem is proposed in this paper. The paper aims to discuss these issues. Design/methodology/approach – With this method, the initial values can be obtained by equations which are established based on multiple stops on horizontal road. Findings – The calibration and contrast tests on the MTS calibration platform illustrate the better performance with the new method. Moreover, the real vehicle test confirms the effectiveness in practice. Originality/value – The test results show that the new method of initial calibration has an advanced performance compared to the traditional one. In addition, it is effective in the brake test with a real vehicle.

The Development and the Field Application of the On-Line Dry Ice Washing Vehicle System

2014 ◽  
Vol 615 ◽  
pp. 58-65
Author(s):  
Zhen Zhu Li ◽  
Feng Jiang ◽  
Jun Jie Zheng ◽  
Jian Ming Zou ◽  
Chang Geng Tu ◽  
...  
Keyword(s):  
Field Application ◽  
Advanced Technology ◽  
Test Results ◽  
Excellent Performance ◽  
Voltage Level ◽  
Dry Ice ◽  
Vehicle System ◽  
Trial Test ◽  
On Line

Abstract: In order to wash the polluted substation insulator quickly and safely, so as to improve the reliability of substation systems, an on-line dry ice washing system which would be applied in 220 kV voltage level was developed. Based on the results of the indoor simulation tests which provided the optimal washing parameters, the on-line dry ice system was developed. Moreover, a trial test was run in a 220 kV substation belonging to Hubei State Grid. The test results show that the vehicle system can meet the requirements of on-line washing tasks in 220 kV substation. Therefore, the washing system features advanced technology, excellent performance, and promotional value.

scholarly journals Investigating the Impacts of Road Traffic Conditions and Driver’s Characteristics on Automated Vehicle Takeover Time and Quality Using a Driving Simulator

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jaehyun Jason So ◽  
Sungho Park ◽  
Jonghwa Kim ◽  
Jejin Park ◽  
Ilsoo Yun
Keyword(s):  
Driving Simulator ◽  
Road Traffic ◽  
Vehicle Control ◽  
Automated Vehicles ◽  
Automated Driving ◽  
Automated Vehicle ◽  
The Road ◽  
Traffic Conditions ◽  
Vehicle System ◽  
Driver’S Characteristics

This study investigates the impacts of road traffic conditions and driver’s characteristics on the takeover time in automated vehicles using a driving simulator. Automated vehicles are barely expected to maintain their fully automated driving capability at all times based on the current technologies, and the automated vehicle system transfers the vehicle control to a driver when the system can no longer be automatically operated. The takeover time is the duration from when the driver requested the vehicle control transition from the automated vehicle system to when the driver takes full control of the vehicle. This study assumes that the takeover time can vary according to the driver’s characteristics and the road traffic conditions; the assessment is undertaken with various participants having different characteristics in various traffic volume conditions and road geometry conditions. To this end, 25 km of the northbound road section between Osan Interchange and Dongtan Junction on Gyeongbu Expressway in Korea is modeled in the driving simulator; the experiment participants are asked to drive the vehicle and take a response following a certain triggering event in the virtual driving environment. The results showed that the level of service and road curvature do not affect the takeover time itself, but they significantly affect the stabilization time, that is, a duration for a driver to become stable and recover to a normal state. Furthermore, age affected the takeover time, indicating that aged drivers are likely to slowly respond to a certain takeover situation, compared to the younger drivers. With these findings, this study emphasizes the importance of having effective countermeasures and driver interface to monitor drivers in the automated vehicle system; therefore, an early and effective alarm system to alert drivers for the vehicle takeover can secure enough time for stable recovery to manual driving and ultimately to achieve safety during the takeover.

scholarly journals 3106 Virtual Automated Vehicle System for Urban Driving Experiment

2014 ◽  
Vol 2014.23 (0) ◽  
pp. 289-292 ◽  
Author(s):  
Keisuke Yoneda ◽  
Seiichi Mita ◽  
Chenxi Yang ◽  
Quoc Huy Do ◽  
Hossein Tehrani ◽  
...  
Keyword(s):  
Automated Vehicle ◽  
Vehicle System
Sign in / Sign up

Export Citation Format

Share Document