Vehicle Electronic Control Units Research Articles

Fuel Consumption System

Fleet Management System (FMS) is a highly applicable system which gets more and more attention among industrial field. Recent years, fuel consumption has become one of the most concerned topics, hence, establishment of a fuel consumption monitoring system is required. In this study, based-on the FMS, a system which was capable of precisely monitoring and calculating the fuel consumption was designed. This FMS was composed of the front end Vehicle Tracking System (VTS) and the back end Management Server (MS). VTS was established and installed into the vehicles, based on several well-known technologies, such as Mobile Telecommunications Technology of GPRS or 3G, Global Positioning System (GPS), and On-Board Diagnostics II (OBD-II). In addition, VTS was also connected with the Vehicle Electronic Control Unit (VECU) through the OBD-II interface. By using GPRS/3G technology and the TCP/IP communication protocol, real-time vehicle operation data obtained from the OBD-II and positioning information from the GPS could be sent backward to the MS. The MS was designed through JBoss Developer Studio, and included the Data Collector (DC) and Web server. The DC gathers data sent back from VTS and the Web server calculates and decides the vehicle's present situation according to the data. The result can also be presented on websites by the Web server. In this study, the fuel consumption status of vehicles could be performed. Furthermore, the Web service also provided the users instant online manipulation.

Algorithm Development for Minor Damage Identification in Vehicle Bodies Using Adaptive Sensor Data Processing

Abstract The paper presents an approach for fully-automatic detection and recognition of minor vehicle body damages in a scenario of frequently changing drivers, such as in the car rental or car sharing businesses. It utilizes a sensor network integrated into the vehicle body. The algorithmically contribution is the multi sensor-data fusion of the signals from these sensors and the subsequent reasoning framework stage. The present research assignment is the inclusion of additional information from the network of the vehicle's electronic control units. This additional information about the vehicle state (e.g. closed or opened door status, speed, changing fuel level) is used to verify the calculated damage events. The efficiency of a structural damage detection directly depends on the acoustical vehicle noise level. Additional structure-borne sound sources also introduce oscillations into the vehicle body (e.g. road and engine noise, opening and closing doors). Some of this information uses a central electronic unit for adaptive sensor data processing of the damage detection system. The higher confidence of correctly identified damages increases the credibility of the system.

Stochastic Dynamic Programming based Energy Management of HEV's: an Experimental Validation

This paper addresses an experimental validation of an energy management strategy on a parallel Hybrid Electric Vehicle (HEV). The strategy under consideration is based on Stochastic Dynamic Programming. The control law (determining the torque split between the engine and the motor) is computed off-line by solving an infinite horizon optimization problem. It results in a time-invariant state feedback controller function of vehicle acceleration and velocity, battery state of charge and engine state. This controller is first validated in simulation and then implemented in the vehicle electronic control unit. Experimental results highlight the good behavior of the control strategy. During a 35 km urban route, the strategy succeeds in regulating the battery state of charge and judiciously uses the powertrain.

자동차 환경에서 스마트 모바일 블랙박스 DVR

In this paper, automatic recognition of an accident and whether service delivery and risk driving through the giving of the driver to correct driving habits before and after the accident to reproduce highly scalable video Smart Mobile Blackbox DVR (SMBD, Smart Mobile Blackbox DVR) Computer of the model was designed. SMBD on embedded systems equipped with wireless capabilities to sleep in the car accident point and the image information by wireless communications, by notification in the control center, 24-hour emergency rescue service and traffic information can be provided. The vehicle ECU (Electronic Control Unit) of the vehicle information and sensor data in conjunction with wireless eCall (Emergency Call) services can be realized.

Development of traction control for front-wheel drive in-wheel motor electric vehicles

This paper proposes a novel traction control for a front–wheel drive in–wheel motor electric vehicle. The presented vehicle has advantages on high fuel efficiency and cost effectiveness. In order to achieve specific control performance, this study employed a high speed microcontroller as the vehicle's electronic control unit. The anti–skid function based on a reliable traction control kernel is embedded in the system, which can guarantee the steering safety in a slippery and dangerous situation. This study verifies that the traction control based on maximum torque regulation cannot only constrain the slip to improve the longitudinal friction force and lateral friction force, but also provide some information on tyre–road conditions, which can ensure the performance and the effectiveness of two–dimensional motion control. The numerical simulation and demonstration video reveal its effectiveness and feasibility.

Modelling and optimizing automotive assembly plant flash-programming time

As automotive companies standardize their electronic control units (ECUs) on a common electrical architecture across all vehicle platforms, more and more software-enabled features will be delivered using assembly plant flash programming. Assembly plant flash programming is the process by which software or calibration data sets are downloaded to vehicle electronic control units using an off-board programming tool during the final vehicle assembly process, thus postponing vehicle product differentiation and customization, reducing the rate of growth in the number of unique ECU part numbers, and reducing manufacturing complexity. As vehicle electronic control modules and their software content or calibration data sets increase, the demand on manufacturing time and space increases significantly. This paper identifies and examines all factors that impact the assembly plant flash-programming time, develops simple and accurate analytical models, and describes an innovative optimization-based approach for determining the parallel flash-programming time for the in-vehicle communication buses that are capable of interleaving packets. The optimization approach can be used to identify the optimal scheme for the parallel flash programming of all vehicle ECUs. By following the suggested scheme, it can dramatically increase the amount of calibration data that can be flash programmed within the same process time constraint, thus increasing manufacturing flexibility and more fully utilizing limited manufacturing production capacity.