Intellectualization of electronic systems and software of modern cars
Viacheslav Pavlenko, Volodymyr Kuzhel, Antonina Buda, Pavlo Chernenko, Oleksandr KornievThis work aims to study the issue of saturation and improvement of software and electronic systems within the development of modern cars. The trends that exist today in the automotive industry create complexities and uncertainties associated with hardware, the near foreseeable future is likely to be disruptive for software and electronic architecture.
Already now, the car has changed irrevocably. Electrification and artificial intelligence have improved safety, efficiency and productivity in road transport. While most drivers think about how fast they will get to where they are going, in technical terms, more and more attention is now being paid to traffic conditions and safety while traveling - how passengers will feel, and how they will get to their final destination, and monitoring the performance of all vehicle systems.
The authors of the article substantiate the urgency of the problem and prove that the main need for cars is the safety and quality of automotive electronics and safety software that create an even greater level of autonomy. All this requires the automotive industry to rethink the current steps towards the development of car software, electronic and electrical architecture.
The aim of the work is to study the state and prospects of development of various electronic systems and technological software of modern cars and to consider hypotheses of the future electrical and electronic architecture of road transport.
In the result of the work, it is proved that intelligent vehicles created with the help of semiconductors, databases and artificial intelligence for decision-making, leads to an exponential increase in the complexity of automotive systems and requires more sophisticated design and testing technologies. To achieve the required performance as well as the goals of sustainable design and safe operation, these elements can no longer be designed separately. A new paradigm of collaborative design must be adopted, where engineers from different disciplines come together to achieve a common goal.
References
[1] Harmon, Р. (1994). Intelligent software strategies. In The AI tools market. The market for intelligent software building tools (Vol. 1). Burlington: Morgan Kaufmann.
[2] Mellor, C. (2020). Autonomous vehicle data storage: We grill self-driving car experts about sensors, clouds … and robo taxis. Retrieved from https://blocksandfiles.com/2020/02/03/autonomous-vehicle-data-storage-is-a-game-of-guesses.
[3] What is ADAS (Advanced Driver Assistance Systems)? (n.d.). Retrieved from https://www.synopsys.com/automotive/what-is-adas.html
[4] Baidu robot car made an automatic run through the streets of Beijing. (2015). Retrieved from https://dailytechinfo.org/auto/7656-avtomobil-robot-baidu-sovershil-avtomaticheskiy-probeg-po-ulicam-pekina.html.
[5] Pavlenko, V.M., Kuzhel, V.P., & Manuylov, V.M. (2021). Algorithmization of the knowledge base in the maintenance of passenger cars. Bulletin of Mechanical Engineering and Transport, 2(14), 87-95.
[6] Pavlenko, V.M., Manuylov, V.M., & Kuzhel, V.P. (2021). Case-systems for the development of a multi-agent system (MAS) in the system of diagnostics and maintenance of cars. Bulletin of Mechanical Engineering and Transport, 1(13), 87-94. doi: 10.31649/2413-4503-2021-13-1-87-93.
[7] Pavlenko, V.M., Kuzhel, V.P., Kalashnikov, E.V., & Komar, D.P. (2019). Ontology modeling for the organization of vehicle maintenance. Bulletin of Mechanical Engineering and Transport, 1(9), 89-97. doi: 10.31649/ 2413-4503-2019-9-1-89-97.
[8] Volkov, V.P., Pavlenko, V.M., & Kuzhel, V.P. (2019). Research of the agent approach to control the technical condition of vehicles. Bulletin of Mechanical Engineering and Transport, 2(10), 16-23. doi: 10.31649/24134503-2019-10-2.