Development of a new calibration and monitoring system for in-vehicle electronic control units based on controller area network calibration protocol

2005 ◽  
Vol 219 (12) ◽  
pp. 1381-1389 ◽  
Author(s):  
J-X Wang ◽  
J Feng ◽  
X-J Mao ◽  
L Yang ◽  
B Zhou
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Monitoring Program ◽  
Controller Area Network ◽  
Present System ◽  
Area Network ◽  
Electronic Control ◽  
Control Units ◽  
Calibration Protocol ◽  
Calibration Program

An interactive user-friendly calibration and monitoring system is critical for the development of electronic control units (ECU). In this study, a controller area network (CAN) driver, CAN calibration protocol (CCP) driver, monitoring program, and calibration program in the ECU were designed with the assembly language. The inquiry mode was used in monitoring the program and the interrupt mode was used in the calibration program, which ensured the real-time, simultaneous communication and interruption for the main control program. Mirror memory and the random access memory (RAM) calibration technique were used to reduce the write and read accesses to ECU, and, with the mapping of calibration RAM, calibration parameters could be changed online and used instantly. An efficient database management was used to achieve an accurate dynamic link between PC and ECU. The present system provides reliable, accurate, and quick CAN communication between ECU and PC, with a baud rate up to 500K bit/s. It also provides a friendly, compatible, and flexible calibration interface, and the functions of online calibration and real-time monitoring. This system has been used successfully in high-pressure, common rail, electronically controlled diesel engines and pure electrical vehicles (after a small modification).

scholarly journals Collecting Big Data from Automotive ECUs beyond the CAN Bandwidth for Fault Visualization

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Jeong-Woo Lee ◽  
Ki-Yong Choi ◽  
Jung-Won Lee
Keyword(s):  
Big Data ◽  
Controller Area Network ◽  
Area Network ◽  
Cumulative Number ◽  
Hardware In The Loop ◽  
Electronic Control ◽  
Automotive Electronic ◽  
Control Units ◽  
Multiple Regions

A hardware-in-the-loop (HiL) test is performed to verify the software functions mounted on automotive electronic control units (ECUs). However, the characteristics of HiL test limit the usage of common debugging techniques. Meanwhile, the logs of how the program uses memory can be utilized as debugging information collected by the controller area network (CAN). However, when the 32 KB memory is observed with 10 ms period, about 96% of the data on each cycle is lost, since the CAN only can transfer 1.25 KB of data at each cycle. Therefore, to overcome the above limitations, in this study, the memory is divided into multiple regions to transmit generated data via CAN. Next, the simulation is repeated for the each divided regions to obtain the different areas in each simulation. The collected data can be visualized as update information in each cycle and the cumulative number of updates. Through the proposed method, the ECU memory information during the HiL test was successfully collected using the CAN; the transmission is completed without any loss of data. In addition, the data was visualized in images containing the update information of the memory. These images contribute to shortening the debugging time for developers and testers.

scholarly journals CA-CRE: Classification Algorithm-Based Controller Area Network Payload Format Reverse-Engineering Method

Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2442
Author(s):  
Cheongmin Ji ◽  
Taehyoung Ko ◽  
Manpyo Hong
Keyword(s):  
Reverse Engineering ◽  
Controller Area Network ◽  
Third Party ◽  
Area Network ◽  
Electronic Control ◽  
Plain Text ◽  
Security Research ◽  
Control Units ◽  
Vehicle Networks ◽  
Gain Access

In vehicles, dozens of electronic control units are connected to one or more controller area network (CAN) buses to exchange information and send commands related to the physical system of the vehicles. Furthermore, modern vehicles are connected to the Internet via telematics control units (TCUs). This leads to an attack vector in which attackers can control vehicles remotely once they gain access to in-vehicle networks (IVNs) and can discover the formats of important messages. Although the format information is kept secret by car manufacturers, CAN is vulnerable, since payloads are transmitted in plain text. In contrast, the secrecy of message formats inhibits IVN security research by third-party researchers. It also hinders effective security tests for in-vehicle networks as performed by evaluation authorities. To mitigate this problem, a method of reverse-engineering CAN payload formats is proposed. The method utilizes classification algorithms to predict signal boundaries from CAN payloads. Several features were uniquely chosen and devised to quantify the type-specific characteristics of signals. The method is evaluated on real-world and synthetic CAN traces, and the results show that our method can predict at least 10% more signal boundaries than the existing methods.

Hybrid FlexRay/CAN Automotive Networks

2013 ◽  
pp. 323-342
Author(s):  
Rodrigo Lange ◽  
Rômulo Silva de Oliveira
Keyword(s):  
Communication Networks ◽  
Exponential Growth ◽  
Information Exchange ◽  
Controller Area Network ◽  
Area Network ◽  
Vehicular Communication ◽  
Control Units ◽  
Vehicular Communication Networks ◽  
Automotive Networks ◽  
Embedded Applications

In recent years, the automotive industry has witnessed an exponential growth in the number of vehicular embedded applications, leading to the adoption of distributed implementations for systems in the powertrain and chassis domains. The Controller Area Network (CAN) protocol has been a de facto standard for intra-vehicular communications, while the FlexRay Communication System is being promoted as the future de facto standard for network interconnections of applications related to X-by-wire systems. Due to the characteristics of CAN and FlexRay, the coexistence of both protocols in the same vehicle is expected, leading to the use of gateways to manage the information exchange between electronic control units connected to different network segments. This chapter describes the main characteristics of CAN and FlexRay protocols, surveying the literature addressing schedulability and time analysis in both FlexRay and CAN protocols. The chapter also outlines the state-of-the-art in research about gateways for intra-vehicular communication networks.

scholarly journals Development of Automatic Verification Environment for In-Vehicle Controller Area Network

2019 ◽  
Vol 7 (5) ◽  
pp. 05-10
Author(s):  
Tain-Lieng Kao ◽  
San-Yuan Wang ◽  
Ming-Hua Wu
Keyword(s):  
High Performance ◽  
Controller Area Network ◽  
Automatic Verification ◽  
Area Network ◽  
Automotive Systems ◽  
Control Units ◽  
Management Function ◽  
Vehicle Networks ◽  
Verification Process ◽  
Autopilot Systems

Due to the development of modern techniques, in the recent years, electronic vehicles and autopilot systems have beensignificant emerged in automobile and IT industrial. This leads the electronics automotive systems and auto-control systems consistedof a lot of high performance Electronic Control Units(ECUs) connected by controller area network (CAN). For realizing morecomplicated design in ECUs, this work integrates real-time OS and network management function. The results improve the CANbusnodes' designing level to as a gateway to interconnect CANbus nodes. As the number of CANbus nodes increase, the verification processis more and more complicated and takes much time. For speeding up the verification process, this work uses CANoe package toprogram the testing script for automotive verification environment. Then the engineer can connect the testing device by CAN to theenvironment for automatic verification. The engineer can define the network messages of the CANbus nodes and tune the design asthe validating progress. The testing results present as XML format and can be transferred to HTML pages for readability. Hence, thiswork realizes an automatic verification environment for CANbus in-vehicle networks.

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