The on-board intelligent systems functions set also vary depending on the level of vehicle driving automation; they generally include means to inform the driver, assist in challenging circumstances, communicate with dispatcher and service operators, as well as to identify the vehicle condition. The Car Data Recorder Prototype (CDRP) system is thus cited by the
article (Nugroho S.A. et al., 2018) authors as it can record the vehicles condition and report an accident by means of an SMS notification in the GSM module, so improving the accuracy of traffic accident investigation. The authors suggest the on-board diagnostics-II (OBD-II) function with the parameters recording: the gas pedal position, the engine shaft speed and future vehicle portance of future autonomy and incorporates application development
engine temperature in the designated time range. The article (Datta S. K., Härri J. and Bonnet addresses the imvehicles geo-temporal awareness: describes IoT platform for accurate positioning in highly automated driving (HAD), which combines IoT with joint technologies, IoT with protocols and ITS algorithms to achieve high-precision localization for future autonomous
Vehicles Successfully integrated to construct
this system, the paper (Aljaafreh J A. et al. 2011) offers a vehicle data collecting and analysis system for automated fleet management employing on-board diagnostics (OBD), GPS, RFID and WiFi technologies. Using the GPS receiver, the system incorporated into the car finds the vehicle location; the OBD interface finds the vehicle state; driver identification by RFID is
achieved. Using easily available computing resources, such laptop computers, the paper Godavarty S., Broyles S. and Parten M. 2000) outlines a method for constructing an online diagnostic system. Easier than directly from the on-board diagnostics systems (OBD II), you can get this information through the PC interface and certain software. Online diagnostics can
speed the cycle of new technologies development, including fuel cell vehicles, as well as give user assistance and maximize the performance of such vehicles by lowering downtime. Nevertheless, the fundamental issue is the measurement dispersion resulting from several interference variables that complicate the comparison of the vehicles' behavior in real
Situations with their predefined reference
equivalents. Using artificial neural networks, the paper (Nitsche C., Schroedl S. and Weiss W. explains how on-board diagnostics of fuel cell vehicles might be enabled. The authors think that this approach can be applied to identify both long-term shift in the characteristics of the vehicle power transmission, for example in line with the deterioration of the fuel cells state, characterise the vehicle general condition. The solution suggested by the authors can satisfy
and short-term faults errors Based on OBD-TT criteria, the paper (Niazi M. A. K. et al. 2013) details the evolution of a universal OBD device and its application with different vehicles including Land Rover Defender. This gadget shows real-time car system condition like engine sp variation and vehicle speed. A system fault or failure results in the generated DTC from the
car microprocessor. Uses GPRS mobile communications for real-time data transition via the internet and proposes a modified system design based on vehicle monitoring technology to prerequencies for real-time ITS and ODB applications. Wang Y. e-tegrated approaches for faulttolerant monitoring and on-board diagnostics Using data processing and their validation
In the selective catalytic reduction system
built by the authors, the paper offers a method for spotting and fixing a urea injection system. The paper (Hu J. et al., 2011) presents the car diagnostics techniques and the on-board diagnostic system (OBD), compares and analyzes many kinds of diagnostic procedures extensively applied in the OBD system. This is a quicker diagnostic approach with strong help and repair directions than hand-held diagnostic tools. Furthermore, the system can be
developed for more practical application and growth of remote diagnostics. According to the authors of the 2010 article (Bostelman R. and Shackleford W.), the National Institute of Standards and Technology (NIST) diagnostic tool is applied in NIST automated guided vehicles (AGV), which is really helpful for comprehending the vehicle operation. This tool for
design, alter, and monitor vehicle characteristics and control algorithms helps AGV maker to provide strong autonomous vehicle control. Based on a structural analysis of electric drive systems, the article (Zhang J., Yao H. and Rizzoni G. 2017) authors established a methodical model diagnostic approach that can form the basis for the onboard diagnostics systems for
Conclution
design of electric cars. Remote technical condition monitoring uses V2I systems to create and apply specific M & R systems. The vehicle digital field, limited by regulatory constraints, means of monitoring the technical condition parameters and infrastructure components for monitoring every vehicle defines the V2I information model described in Gritsuk I. et al The foundation of the system is a broad approach toward the system research "Vehicle - Driver -
Operating Conditions Vehicle Operation Infrastructure. Since they will be based on functional and mathematical models, the increase in the mechatronic systems use in vehicles requires the diagnostic functions integration, which will be widely implemented in the vehicle on-board software and will enable to improve the diagnostic depth in the future. Stored in non-volatile transmitted OBD data in real time, the data acquired from the diagnostic operations
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