On 18–19 October 2023, the annual International Automobile Scientific Forum (IASF-2023) “Ensuring Competitiveness of Russian Automotive Industry until 2035” took place, dedicated to the 105th anniversary of FSUE “NAMI”. The event format assumed both offline and online participation. The issues of providing technological sovereignty of the Russian automotive industry and development of the domestic component base, technical and technological developments in the field of innovative land vehicles and systems were discussed during the Forum. Within the Forum, an exhibition of technical achievements of FSUE “NAMI” and manufacturers of automotive vehicles and components was held dedicated to competitiveness of the Russian automotive industry. Components of electric, hybrid and intelligent vehicles, electronic control units, assemblies and aggregates of powertrains, electric traction vehicles and hybrid vehicles with additional power sources were also presented. There was a competition held in two categories: “Best Student Scientific Paper” and “Best Graduate Student and Young Specialist Scientific Paper”. 20 applications were filed for the competition from the educational, scientific and production companies and organizations.

Introduction (problem statement and relevance). Currently, there are new vehicle power units actively evolving and being more and more extensively applied that are primarily based on electric and hydrogen technologies ensuring reduction of greenhouse gas emissions when in operation. However, to comprehensively evaluate the advantages and disadvantages of the new technologies they require integrated assessment within the life cycle. The global community, minding the importance of this problem, has come to the need of development of a harmonized methodology for assessment of a vehicle carbon footprint within the life cycle.

The purpose of the study is to review the modern trends when assessing the vehicle carbon footprint within the life cycle based on the analysis of activities of the Automotive – Life Cycle Assessment (A-LCA) Informal Working Group within the official Working Party on Pollution and Energy (GRPE) within the operation of the UN World Forum for Harmonization of Vehicle Regulations (WP.29).

Methodology and research methods. The method of analysis of published documents and reports presented at the sessions of the Automotive – Life Cycle Assessment (A-LCA) Informal Working Group has been used. Scientific novelty and results. The paper contains the results of analysis of modern approaches and trends in vehicle life cycle assessment. Practical significance. The analysis results will help understanding the key issues in vehicle life cycle assessment and improving methodologies applied in the Russian Federation.

Introduction (problem statement and relevance). In the modern world, the issue of relevance of driverless vehicles and implementation of this technology in economic, legal and technological environment is more acute than ever. The scope of the latest technological solutions grows year by year often drawing attention of the largest companies that are ready to invest effort and finance in improvement of methods, techniques and devices related to production and operation of driverless transport. The purpose of the study is to analyze the main development trends of the driverless vehicle technologies market based on the patent search over the period of 2012–2021, to identify regularities and draw conclusions on the state of the technology market development at the time of the study. Methodology and research methods. In the course of the study, domestic and foreign patent documentation databases were examined, as well as directly the patent documents describing various technical solutions in the technological sector of driverless vehicles. Scientific novelty and results. Following the results of the analysis, conclusions on the high level of interest from inventors and large organizations, especially from the Asian region, in the developments in the “Driverless vehicles and highly automated vehicles” sector were drawn. Based on the data, conclusions on the Russian patent activity were also drawn, in comparison with the indicators of other leading countries. It was noted that the technological sector had been developing rapidly and achieved the peak indicators in 2020 so far. Practical significance. The analysis results can be used by inventors and organizations in order to identify the trends of the world market of technologies and demand for individual developments within the technological sector.

Introduction (problem statement and relevance). At present, great attention is paid to solving the issues and problems of creation of driving automation systems for vehicles or vehicle automated driving systems (ADS). Their successful solution depends on many factors, such as: economic, organizational, production, design and technological ones, etc.

The purpose of the study is to analyze some of the key factors influencing the reliability of vehicleenvironment-driver human-machine system models, which are the instrumental basis for vehicle ADS designing. Methodology and research methods. The article considers the history of development of models of vehicle-environment-driver human-machine systems over the last half-century period with a focus on domestic (Russian) research and studies in this field.

Results. It reveals the features of mathematical descriptions in systems of automated driving and control of objects with artificial intelligence, in professionally oriented biotechnical complexes to efficiently and effectively solve tasks of mutual adaptation of human-machine systems, in vehicle end-to-end design, etc. Practical significance. The list of issues and problems arising when describing mathematically the research objects is presented, and recommendations to solve them are offered.

Introduction (problem statement and relevance). Modern control over the vehicle engine technical condition is performed by measuring the coolant temperature and oil temperature.

The purpose of the study is to examine the regularities of engine oil aging with determination of the causes of change of oil performance indicators, assessment of its admissible state and identification of optimal timing for its replacement according to the actual condition.

Methodology and research methods. The results of bench and operational tests of three modern engine oils at long-term run in the KAMAZ family engines were analysed. Scientific novelty and results. The article presents the justification of usage of blow-by, which characterizes the rate of wear of the main friction surfaces inside the cylinder-piston and valve train group of parts, as an objective indicator of the engine technical condition.

Practical significance. For further research, the problematic issues regarding technical condition quality control and service life increase for the vehicle internal combustion engine have been outlined.

Introduction (problem statement and relevance). For several years already, the world’s leading countries are managing programs aimed at decreasing СО₂ emissions from trucks. These programs imply actual (field) testing of components and simulating of vehicle driving according to the test cycles in the special software (SW). In Europe, Regulation (EU) 2017/2400 requires that manufacturers produce and open source such calculations when registering new trucks (heavy-duty vehicles) in the EU territory. The purpose of the study is to compare the CO₂ emission level from trucks made by the European manufacturers and from a modern truck produced by KAMAZ PTC.

Methodology and research methods. The truck driving was simulated with the use of Regulation (EU) 2017/2400 methodology in the VECTO software. Scientific novelty and results. The СО₂ emissions from the modern truck produced by KAMAZ PTC were calculated with the use of Regulation (EU) 2017/2400 methodology in the VECTO software. Practical significance. The obtained calculation results can be used for optimization of the KAMAZ vehicle parameters in order to decrease fuel consumption and СО₂ emissions

Introduction (problem statement and relevance). The key task of ensuring confidence in motor vehicles with elements of artificial intelligence (AI vehicles) is forming of a representative set of requirements compliance with which ensures the necessary guarantees of AI vehicle functionality and safety.

Absence of generally accepted and statutory approaches to justification of the requirements content constrains application of artificial intelligence technologies in motor vehicles and, respectively, impedes creation and improvement of highly automated vehicles. The purpose of the study is to analyze the principles of forming of a representative set of requirements for AI vehicles. Methodology and research methods. The paper uses the principles of qualimetry adapted for the information systems based on machine learning algorithms, it also uses the methods of system analysis, mathematical statistics, combinatorics, set theory and propositional calculus principles. Scientific novelty and results. The approach is formulated to justify the statistically representative set of requirements for AI vehicles, and that allows adequate and accurate assessment of compliance of these systems with the expectations of the customers, developers, suppliers, regulatory authorities and other stakeholders. The structure of such expectations and priorities has been considered taking into account creation and application of AI systems. It is shown that stakeholder requirements apply to both the AI vehicle life cycle processes and the systems per se taking into account particular (given) conditions of their operation. Different significant factors, which variability sets the intended operating conditions, have been considered and conditions of representativeness of test data sets used for AI vehicle trials have been formulated. It is shown that, in order to reduce the dimensionality of space of the intended operating conditions, AI vehicles can be decomposed into separate functional subsystems and then into individual AI algorithms. The ways to perform such functional decomposition have been suggested. Practical significance.

The principles of justification of the requirements content offered in the paper can be used in certification testing of artificial intelligence algorithms that are used in highly automated vehicles.

Introduction (problem statement and relevance). The article describes a physical model of a road train with active drive of semi-trailer wheels. The results of research tests of the physical model are given, with the help of which the adequacy of the mathematical models of dynamics of the road train as a part of a truck tractor and semi-trailer with active wheel drive is evaluated. The purpose of the study is estimation of efficiency of the technical solutions aimed at increase of vehicle passability and maneuverability.

Methodology and research methods. In the course of the study the method of analysis of results of tests of the operating active road train scaled mock-up, the method of comparative analysis of the results of mathematical and physical modelling have been used. Scientific novelty and results. The performed studies confirmed correlation of the physical and mathematical modelling results, as well as indicated that the use of physical modelling serves as an efficient method to obtain an objective assessment of operational properties of the designed road train. The article considers constraints and limitations of using a scalable vehicle to study its dynamics. Matters of model parameters validity, conditions for dynamic similarity, and physical modelling results for active road train dynamics are given.

Practical significance. Physical modelling of a (full-)scale sample using a scaled model reduces the costs and time when developing an active road train with new technical solutions, and increases reliability of the results obtained through the mathematical and physical modelling.