Browse Topic: Vehicle to vehicle (V2V)

Items (452)

SIMULATION FOR VEHICLE-TO-VEHICLE AND VEHICLE-TO-GRID RESOURCE SHARING ANALYSIS

2024-01-3444

11/15/2024

ABSTRACT A simulation capable of modeling grid-tied electrical systems, vehicle-to-grid (V2G) and vehicle-to-vehicle(V2V) resource sharing was developed within the MATLAB/Simulink environment. Using the steady state admittance matrix approach, the unknown currents and voltages within the network are determined at each time step. This eliminates the need for states associated with the distributed system. Each vehicle has two dynamic states: (1) stored energy and (2) fuel consumed while the generators have only a single fuel consumed state. One of its potential uses is to assess the sensitivity of fuel consumption with respect to the control system parameters used to maintain a vehicle-centric bus voltage under dynamic loading conditions.

Jane, Robert S., Parker, Gordon G., Weaver, Wayne W., Goldsmith, Steven Y.

Safety Spacing Control of Truck Platoon Based on Emergency Braking under Different Road Conditions

10-07-01-000510/13/2022

Vehicle platooning reduces fuel consumption, improves traffic throughput, and achieves smaller intervehicle spacing which increases the probability of danger during platoon braking. This article presents a sliding mode control based on the safety spacing policy for longitudinal control of a connected truck platoon with a focus on the predecessor following interactions. In particular, the modified safety spacing policy considering the intervehicle braking information communication delay, the sluggish nature of the brake actuator, the road conditions on each vehicle as well as the vehicle motion state is proposed. On this basis, an acceleration sliding mode controller is proposed, which takes into consideration the spacing error and speed error of the intervehicle, and the control error is zero, so as to obtain the expected acceleration of each vehicle in the platoon. Simulation results of truck platooning with six trucks using TurckSim have demonstrated the effectiveness of the proposed

Zhao, Qian, Zheng, Hongyu, Kaku, Chuyo, Cheng, Feihao, Zong, Changfu

Design and Development of a Virtual Autonomous System

2022-01-507210/03/2022

An autonomous vehicle or a driverless vehicle is a ground vehicle that is capable of sensing its environment and moving safely with little to no human input. The present study aims to validate existing literature on vehicle following, emergency braking, lane changing, overtaking, and jerk trajectory with regard to autonomous vehicles. By using the jerk trajectory equation, we are able to optimize it by implementing a complete overtaking procedure. We are also able to compare the variation in both the dynamic and kinematic bicycle model for the same vehicle and traveling the same distance. A new kinematic bicycle model is built, which is more simple to construct. This project is performed using MATLAB and Simulink for creating and modifying the system blocks. There has also been an integration of 3D visualization software such as VR sink and Unreal Engine. We construct the vehicles by simple transfer functions, ACC and PID as the main system blocks for vehicles 1, 2, and 3, respectively

Narain, C.M., Patil, Sharanbassapa S.

Real-Sim Interface: Enabling Multi-resolution Simulation and X-in-the-Loop Development for Connected and Automated Vehicles

12-05-04-002606/27/2022

Connected and automated vehicles (CAVs) can bring safety, mobility, and energy benefits to transportation systems. Ideally, CAV applications would be fully evaluated and validated prior to real-world implementation. However, many technical challenges in both software and hardware hinder the process. To comprehensively evaluate all aspects of CAV applications, an integrated evaluation environment is needed with various simulation tools from different domains. In the current literature, there lacks a well-developed interface to enable multi-resolution simulation of vehicle, traffic, virtual environment, and hardware-in-the-loop (HIL) simulation. In this work, a modular and flexible interface is developed to enable multi-resolution vehicle and traffic co-simulation for CAV applications. This interface is built upon Oak Ridge National Laboratory’s (ORNL’s) Real-Sim approach, can support various simulation tools and real-time X-in-the-loop (XIL) simulations, and is based on network

Shao, Yunli, Deter, Dean, Cook, Adian, Wang, Chieh (Ross), Thompson, Bradley, Perry, Nolan

A Novel Vehicle-to-Vehicle Fast Charging Control System Utilizing Motor and Inverter in EV

2022-01-019403/29/2022

As electric vehicles become more widespread, such vehicles may be subject to “range anxiety” due to the risk of discharging during driving or the discharging when left unused for a long period. Accordingly, a vehicle equipped with a mobile charger that can provide a charge in an emergency. The vehicle with the mobile charger is usually composed of a large capacity battery, a power converter in a small truck. However, the large capacity battery and the power converter are disadvantageous in that they are large in size and expensive and should be produced as a special vehicle. In this paper, we propose a method to solve the problem using an internal EV system without requiring an additional power generation, battery and a charging-and-discharging device. The method is a novel Vehicle-to-Vehicle fast charging control system utilizing motor and inverter in EV.

Choi, Jaehyuk, Song, ByeongSeob, Kim, SungKyu, Kim, Hyunsup, Kim, Talchol, Kim, SeokJoon, Cho, InYoung, Choi, YoungGon

Functional verification and validation of secure controller area network (CAN) communication

2022-01-011803/29/2022

In agriculture industry, increasing use of Vehicle Internet of Things (IoT), telematics and emerging technologies are resulting in smarter machines with connected solutions. Inter and Intra Communication with vehicle to vehicle and inside vehicle - Electronic Control Unit (ECU) to ECU or ECU to sensor, requirement for flow of data increased in-turn resulting in increased need for secure communication. In this paper, we focus on functional verification and validation of secure Controller Area Network (CAN) for intra vehicular communication to establish confidentiality, integrity, authenticity, and freshness of data, supporting safety, advanced automation, protection of sensitive data and IP (Intellectual Property) protection. Network security algorithms and software security processes are the layers supporting to achieve our cause. Test environment setup with secured hardware and simulated models, test scenarios and test data created to achieve our objective. For validation, we relied

Khatik, Gourab, Katragadda, Praveen, Labade, Chetan

High-Fidelity Heavy-Duty Vehicle Modeling Using Sparse Telematics Data

2022-01-063503/29/2022

Heavy-duty commercial vehicles tend to have poor energy efficiency due to relatively high mass, poor aerodynamic characteristics, and high auxiliary power loads. These factors lead directly to high fuel cost per mile, perpetuate domestic dependence on imported oil, and contribute to climate change and environmental damage in the form of air pollution. The optimization of energy efficiency in these vehicles presents a way to reduce industry expenses while also taking action on the growing issue of climate change. Vehicle modeling provides a path for energy efficiency improvement by allowing rapid experimentation of different vehicle characteristics on fuel consumption. This research focused on creating higher fidelity models using real-world, sparsely collected telematics data from a large fleet of heavy-duty vehicles. The largest challenge encountered in this research was the use of sparse data, where samples are sporadically collected, leading to infrequent sampling rate and

Carow, Kyle, Cantwell, Nathaniel, Ivanco, Andrej, Holden, Jacob, Baker, Chad, Miller, Eric, Asher, Zachary

SAE TOMORROW TODAY: DRAM: The Unsung Hero of the Smart Vehicle Revolution

1316610/08/2021

Vehicle technology is evolving at a rapid pace, requiring more powerful processors and more DRAM capabilities. Memory and storage solutions are defining what our cars will be able to do in the near future - enabling the future of autonomous vehicles, vehicle-to-vehicle communication and life-saving safety technology. Robert Bielby, Micron Technology's Senior Director, Automotive System Architecture, Embedded Business Unit, discusses the culture at Micron and how their application-aware memory solutions will be able to make the impossible, possible.

Hineman, Marcie

Arrangement and Control Method of Cooperative Vehicle Platoon

2021-01-0113

04/06/2021

With the development of cellular communication technology and for the sake of reducing drag resistance, the multi-lane platoon technology will be more prosperous in the future. In this article, the cooperative vehicle platoon method on the public road is represented. The method’s architecture is mainly composed of the following parts: decision-making, path planning and control command generation. The decision-making uses the finite state machine to make decision and judgment on the cooperative lane change of vehicles, and starts to execute the lane change step when the lane change requirements are met. In terms of path planning, with the goal of ensuring comfort, the continuity of the vehicle state and no collision between vehicles, a fifth-order polynomial is used to fit every vehicle trajectory. In terms of control command generation module, a model predictive control algorithm is used to solve the multi-vehicle centralized optimization control problem. We use the two DOF vehicle

Chen, Guosheng, Wu, Jian, Li, Shuai, Zhang, Jinghua, Du, Zhiqiang, Wang, Guojun, Chen, Zhicheng

TCU Testing at the Heart of Vehicle Connectivity

21AVEP03_0803/01/2021

Adding a telematics control unit to the vehicle and keeping it operational demands a focused approach towards testing this vital component. The wireless connectivity between the modern vehicle and the outside world is possible thanks to a constantly evolving component called the telematics control unit (TCU). The TCU is at the center of all connectivity-related use cases, so its operation must be flawless. Closely related to the TCU are over-the-air tests (OTA), electromagnetic compatibility (EMC), electromagnetic interference (EMI) and automotive Ethernet. All should be kept in mind when designing the strategy to test TCUs. The TCU is loaded with multiple wireless technologies that enable the vehicle to exchange information with its surroundings. It is also connected to multiple components inside the vehicle, including other electronic control units and domain controls, via wired connections using automotive Ethernet and controller area network (CAN) bus. Connecting the vehicle to the

Kumar, Nikhil

SAE TOMORROW TODAY: Enabling the Journey to Mobile Electrification with ChargePoint

1293502/26/2021

Bill Loewenthal, Senior Vice President, Product at ChargePoint, joins us to share his insights on the unstoppable migration to electric vehicles by the masses and how ChargePoint is enabling this adoption with the right hardware and technology. From the benefits of the fuel-while-parked model over the drive-to-fuel model, to the design and infrastructure behind the charging network, Loewenthal shares how ChargePoint has been on the bleeding edge of this technology. Discover how this electrifying network will soon integrate with your life - at home, work and through the apps on your phone - and the efficiency of future charging stations.

Hineman, Marcie

Vehicle, Magnetic Particle Inspection Petroleum Base

AMS2641D (Current)

10/09/2020

This specification covers two types of refined hydrocarbon compounds in the form of liquids. This specification only covers newly manufactured materials.

AMS K Non Destructive Methods and Processes Committee

SAE TOMORROW TODAY: Reinventing Transportation in a Positive Way

1291010/08/2020

Pittsburgh has become a hotbed for mobility innovation and one of the leaders is undoubtedly Argo AI. This week, we are joined by our Steel City neighbor, Bryan Salesky, co-founder and CEO of Argo AI, to discuss Argo's approach to automated vehicles, the role of autonomy in improving mobility for all, and how the education system should develop smarter thinkers and future leaders. Throughout the conversation, Bryan discusses how safety plays an essential role in establishing autonomous vehicles as a trusted technology that people will understand, adopt and support. And as such, the defining legacy of eliminating cars crashes to improve society is touched upon. Bryan talks about how Argo has built relationships and partnerships with cities based on mutual trust and respect. He details Argo's approach to solving specific needs in cities; the company's efforts in Washington, DC, Austin, Texas, and Miami; the importance of a playbook to operationalize consistency in every city; and how

Hineman, Marcie

A Practical Fail-Operational Steering Concept

02-13-03-0013

10/02/2020

Automated vehicles require some level of subsystem redundancy, whether to allow a transition time for driver re-engagement (L3) or continued operation in a faulted state (L4+). Highly automated vehicle developers need to have safe miles accumulated by vehicles to assess system maturity and experience new environments. This article presents a conceptual framework suggesting that hardware newly available to commercial vehicle application can be used to form a steering system that will remain operational upon a failure. The key points of a provisional safety case are presented, giving hope that a complete safety case is possible. This article will provide autonomous vehicle developers a view of a near term possibility for a highly automated commercial vehicle steering solution.

Pandy, Ananda, Pathuri, Nagamani, Salunke, Pranav, Subba, Srujana Sree, Williams, Dan

Unsettled Issues Facing Automated Vehicles and Insurance

EPR202001508/05/2020

This SAE EDGE™ Research Report explores how the deployment of automated vehicles (AVs) will affect the insurance industry and the principles of liability that underly the structure of insurance in the US. As we trade human drivers for suites of sensors and computers, who (or what) is responsible when there is a crash? The owner of the vehicle? The automaker that built it? The programmer that wrote the code?Insurers have over 100 years of experience and data covering human drivers, but with only a few years’ worth of information on AVs – how can they properly predict the true risks associated with their deployment? Without an understanding of the nature and risks of AVs, how can the government agencies that regulate the insurance industry provide proper oversight? Do the challenges AVs present require a total reworking of our insurance and liability systems, or can our current structures be adapted to fit them with minor modifications?{"bold":"Unsettled Legal Issues Facing Automated

Williams, Ian

Vehicle Level Validation Test Procedures for V2V Safety Communications

J2945/1A_202007 (Current)07/08/2020

This document provides vehicle-level data collection, data analysis, and data verification procedures that may be used to verify that an instrument under test (IUT) satisfies the vehicle-level requirements specified in the SAE International (SAE) J2945/1 standard. For the purposes of this recommended practice, “vehicle-level requirements” primarily consist of those requirements which can be verified external to the vehicle. The IUT for these procedures is a configured dedicated short range communications (DSRC) vehicle-to-vehicle (V2V) device as defined in SAE J2945/1 and is installed on a light vehicle. While the IUT is conceptually separated from the vehicle it is installed on, the tests outlined in this document are primarily vehicle-level so the terms “vehicle” and “IUT” can generally be considered interchangeable. Additionally, non-vehicle-level complementary tests, not included in this document, are required to verify that the entire set of requirements specified in SAE J2945/1

V2X Core Technical Committee

Motor Vehicle Seat Dimensions

J2732_202007 (Current)

07/01/2020

This document provides dimensional definitions that facilitate geometric quantification and evaluation of seats. Linear, radial, and angular surface dimensions included in this document are intended to approximate shape characteristics based on defined points of interest and not as a method needed to reproduce complex surface contours. In many cases, other points across the seat surface shape may exceed or not reach the boundary defined by these simple geometric definitions. Dimensions described in this document have been designed to be measured in a CAD environment; however, many dimensions require the HPD position and attitude. This can be obtained by physically establishing H-point using benchmark or auditing procedures OR by measuring the HPD within a CAD or modelling system. Refer to the appropriate document for these procedures. Three types of seat geometry reference points and measurements have been developed: 1 Simple reference points and measurements not related to H-point. 2

Human Accom and Design Devices Stds Comm