In automobiles, electronic control components can be connected into a local area network through the CAN protocol for information transmission. The in-car entertainment system plays an important role in interacting with users among these electronic components. In order to meet the users’ ecological needs and provide a friendly interface operation experience, the Android system has been introduced into the in-car entertainment system. This study mainly explores the implementation of accessing the CAN network through Android applications using the Model-View-Controller (MVC), Model-View-Presenter (MVP), and Model-View-View Model (MVVM) design patterns, and compares these 3 design patterns to analyze their advantages and disadvantages in accessing the CAN network. Ultimately, it concludes that the MVVM design pattern is more suitable for the application of accessing the CAN network in the In-Vehicle Infotainment system.

As an important product of road freight transportation informatization, the application of network freight platform is one of the important ways to help the road freight industry achieve carbon reduction. Based on the investigation and analysis of the carbon reduction status of many network freight enterprises in China and abroad, it is concluded that the integration of logistics resources, replacement of new energy vehicles, deployment of carbon emission management system, and enterprise management carbon reduction are important ways to reduce the carbon emission of road freight. Among them, the integration of logistics resources and the replacement of new energy vehicles have great potential to develop Chinese Certified Emission Reduction (CCER) projects. At present, there is no unified calculation method for carbon emission reduction in China’s road freight industry, the development of a set of methodologies applicable to the CCER trading market at this stage can serve as a good support for the development of carbon reduction projects in the network freight platform under the CCER system.

With the energy and environmental problems becoming increasingly prominent, automobile lightweight as an effective energy-saving and emission reduction technology has become an important development trend in the global automotive industry. This paper elaborates the kinds of aluminum alloys commonly applied in automobile manufacturing, and systematically analyses the weldability of Al/Al and Al/steel. This paper summarizes the advanced joining technologies for aluminum alloy body manufacturing, including resistance spot welding, arc welding, laser welding, friction stir welding, flow drill screw driving, self-piercing riveting, clinching and glue joint. The application status, advantages and disadvantages of aluminum alloy joining technologies are summarized, and the future development trend is prospected.

As the main load-bearing component of the traction battery assembly, the structural strength of the battery box has a critical impact on the reliability of the traction battery system. This paper analyzes the battery box of a pure electric passenger car and uses finite element analysis method to analyze the modal and structural strength of the battery box. Improvement suggestions are formulated, and bench tests are completed to verify the improvement plan. For the development of battery boxes, through preliminary design optimization and finite element analysis methods, this paper analyzes the modal and structural strength of the battery box care to achieve rapid iteration of product plans, so as to reduce test risks and ensure the structural reliability of traction battery products.

Product audit is a quality management tool, based on the customer’s perspective to independently evaluate products, with promoting enterprise quality improvement and satisfying customer. In the process of product audit, different types of defects have different influences on customers and the superposition of various type defects interferes with quality analysis and promotion to some extent. In order to solve these problems, based on the passenger car field, this paper establishes the three-level quality features of the vehicle, and uses the fuzzy comprehensive evaluation method to carry out comprehensive calculation and evaluation of the three-level quality features with the evaluation results obtained. The evaluation results are consistent with the subjective feelings of the audit experts and have a certain scientific nature, which provides a theoretical basis for the work related to product audit.

In the study of stability control for intelligent vehicle, the changes of model parameters and external disturbances such as lateral wind and road adhesion coefficient, which may lead to instability and poor robust stability. In order to improve the riding stability of intelligent vehicles under random interference, a stability control strategy based on Active Front Steering（AFS） and Direct Yaw moment Control（DYC） coordinated control is proposed. Firstly, a two-degree-of-freedom dynamic model of the vehicle is established. Secondly, a front wheel active steering controller based on robust adaptive sliding mode control is designed by combining adaptive law and sliding mode control to suppress the disturbance in the vehicle running, which solves the robust control problem of nonlinear systems with time-varying parameters, uncertainty and unknown disturbance. The yaw moment controller based on genetic optimization fuzzy control is used to solve the additional yaw moment to restore the stable running of the vehicle. Based on Simulink and CarSim simulation platform, the stability control method is simulated under step disturbance, sinusoidal disturbance and mixed disturbance. The results show that the coordinated control significantly reduces the additional yaw torque output of the vehicle, which can be well inhibited interference and fully ensure riding stability of the vehicle.

The steer-by-wire technology is the key technology for the future development of pure electric vehicles, as the key execution system of the X-by-wire chassis, the mechanical connection is canceled, the steering operation is directly transmitted by electrical signals, the control mode is more flexible, the modular structure can be realized, the coupling and control freedom between the steering system and other subsystems of the chassis are improved. Therefore, the steer-by-wire system is an important part of the drive-by-wire chassis system. In order to provide a useful reference for R&D units and enterprises related to steer-by-wire technology, this paper uses patent analysis method to sort out key technical points in steering strategies, integrated systems and other aspects from the perspective of patent disclosure trend and patent technology composition. This paper also analyzes the development status of steer-by-wire technology of pure electric vehicles from macro and micro perspectives, proposes the key directions for future patent layout in the field of steer-by-wire for pure electric vehicle in China.

The fierce competition in the commercial vehicle market is often determined by the changing customer demands, which in turn determines the market position and development direction of the enterprise. This paper proposes a commercial vehicle customer demand analysis method based on data mining technologies. By processing and analyzing customer data, the implicit customer demand characteristics are mined, a customer demand model is established to provide decision-making basis for enterprise customer demand analysis. This paper first introduces the importance and status quo of commercial vehicle customer demand analysis, then details the application of data mining technologies in customer demand analysis, including data preprocessing, data mining algorithm selection and customer demand model establishment. By processing and analyzing experimental data, this paper establishes a commercial vehicle customer demand model, verifies and optimizes the model. The experimental results show that the commercial vehicle customer demand analysis method proposed in this paper can accurately mine customer demand characteristics and provide more objective and scientific decision-making basis for enterprises. This method can be widely used in customer demand analysis and product design in the commercial vehicle market.

With the increasing development of braiding process and the continuous improvement of automation level, three-dimensional braided carbon fiber composite materials have become ideal candidates for the design and preparation of complex special-shaped components with main bearing capacity in the high-tech field of manufacturing. In order to further explore the application prospects of 3D braided carbon fiber composites in the automotive industry, the paper investigates the effects of structures, temperatures, load modes on the mechanical properties and failure mechanism of 3D braided composites and expounds the current research status and progress of 3D braided composites at home and abroad, which puts forward suggestions for their application development.

Due to the popularity of data acquisition tools, the whole life cycle of automobile’s “selection, purchase, use, management, repairment and replacement” will generate data, from which key information needs to be extracted to reflect market changes, competitive enterprise dynamics, technology trends. In this study, data processing processes and tools in the industry are investigated. Key technologies such as dimensionality reduce, data fusion and data governance are integrated by using the coupling relationship of various stages to connect data resources with each other through ID identification. It is proved the point that through the visualization platform and analysis report, data analysis results and expert wisdom can be aggregated to provide decision support for product planning and market strategy of automobile and parts enterprises, and better digitize the value chain of automobile.