The Research and Development of an Automotive Fault Real-Time Alarming System

The authors have researched on the communication protocols and the diagnostic modes used by the second generation of On-Board-Diagnosis (OBD-II) system and put forward a project scheme of automotive fault real-time alarming system based on OBD-II system. The Total Control Unit (TCU) of the alarming system, the signal conversion module between TCU and OBD-II system, the preliminary expert system of automotive fault diagnosis, LCD display system and phonic broadcast system have been developed. Test results on sample machines prove that the alarming system can successfully acquires data stream & trouble codes from automotive electronic control unit, so the expert system can comprehensively analyze potential fault causes and provide the driver with solutions. The fault causes and solutions can be displayed on LCD and converted into voice by text-to-speech module. The wide spread of the alarming system would effectively reduce the costs of vehicle operation and maintenance and greatly improve the vehicle road safety.

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The Application of CAN Bus Microcontroller MC9S08DZ60 in Automotive Electronic Control Unit

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.694-697.2608 ◽

2013 ◽

Vol 694-697 ◽

pp. 2608-2611 ◽

Cited By ~ 1

Author(s):

Yi Wang ◽

Li Ren He

Keyword(s):

Real Time ◽

Software Design ◽

Can Bus ◽

High Reliability ◽

Electronic Control Unit ◽

Low Cost ◽

Control Unit ◽

Scientific Basis ◽

Electronic Control ◽

Automotive Electronic

Take the microcontroller MC9S08DZ60 which integrated CAN controller for example, the design of automotive electronic control unit was introduced, meanwhile shown the hardware structure and software design processes. This circuit has characteristics of simple hardware, low cost, high reliability, real-time. It has provided a scientific basis for the development of the CAN communication electronic control unit based on MC9S08DZ60 microprocessor.

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Reconfigurable real-time hardware-in-the-loop environment for automotive electronic control unit testing and verification

IEEE Instrumentation & Measurement Magazine ◽

10.1109/mim.2014.6873729 ◽

2014 ◽

Vol 17 (4) ◽

pp. 31-36 ◽

Cited By ~ 9

Author(s):

Krisztian Enisz ◽

Denes Fodor ◽

Istvan Szalay ◽

Laszlo Kovacs

Keyword(s):

Real Time ◽

Electronic Control Unit ◽

Control Unit ◽

Unit Testing ◽

Hardware In The Loop ◽

Electronic Control ◽

Automotive Electronic

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Evaluation of Three Different Approaches for Automated Time Delay Estimation for Distributed Sensor Systems of Electric Vehicles

Sensors ◽

10.3390/s20020351 ◽

2020 ◽

Vol 20 (2) ◽

pp. 351 ◽

Cited By ~ 2

Author(s):

Jakob Pfeiffer ◽

Xuyi Wu ◽

Ahmed Ayadi

Keyword(s):

Time Delay ◽

Electronic Control Unit ◽

Measurement Data ◽

Control Unit ◽

Real Data ◽

Time Delay Estimation ◽

Delay Estimation ◽

Distributed Sensor ◽

Automotive Electronic ◽

Interesting Approach

Deviations between High Voltage (HV) current measurements and the corresponding real values provoke serious problems in the power trains of Electric Vehicle (EVs). Examples for these problems have inaccurate performance coordinations and unnecessary power limitations during driving or charging. The main reason for the deviations are time delays. By correcting these delays with accurate Time Delay Estimation (TDE), our data shows that we can reduce the measurement deviations from 25% of the maximum current to below 5%. In this paper, we present three different approaches for TDE. We evaluate all approaches with real data from power trains of EVs. To enable an execution on automotive Electronic Control Unit (ECUs), the focus of our evaluation lies not only on the accuracy of the TDE, but also on the computational efficiency. The proposed Linear Regression (LR) approach suffers even from small noise and offsets in the measurement data and is unsuited for our purpose. A better alternative is the Variance Minimization (VM) approach. It is not only more noise-resistant but also very efficient after the first execution. Another interesting approach are Adaptive Filter (AFs), introduced by Emadzadeh et al. Unfortunately, AFs do not reach the accuracy and efficiency of VM in our experiments. Thus, we recommend VM for TDE of HV current signals in the power train of EVs and present an additional optimization to enable its execution on ECUs.

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