In order to build low-temperature driving range conditions for electric vehicles, this paper utilizes the T-BOX cloud based big data platform for electric vehicles in natural user scenarios, selects speed-related parameters by application principal component analysis, obtaining kinematic fragments of low-speed, medium-speed and high-speed through cluster analysis methods, compares the difference in travel speed of trams at normal temperature and low temperature, establishes a speed curve suitable for low temperature test according to the probability density calculation results, and simultaneously extracts the information of ambient temperature, air conditioning grade and air conditioning temperature. The relationship between ambient temperature and air conditioning setting is analyzed, the ambient temperature and air conditioning setting information suitable for low temperature test are obtained. The results show that compared with normal temperature, the low-speed driving time is extended by 3%, the medium-speed and high-speed driving time are reduced by 2% and 1% respectively, and the ambient temperature setting to -22 ℃, the air conditioning level setting to 3, and the air conditioning temperature setting to 26 ℃ can represent the using scenarios of most users, finally building a low temperature driving rangeworking condition of electric vehicles which is closer to the user’s actual situation.

In order to improve the endurance of the vehicle, with the goal of reducing the vehicle’s wind resistance and optimizing its aerodynamic performance, taking the vehicle’s aerodynamic development process as the starting point, the fluid analysis software STAR-CCM+ is used to simulate the aerodynamic performance of a certain pure electric SUV model. Taking into account the principles of overall aerodynamic design, the definition of styling style, and engineering feasibility, multiple drag reduction optimization schemes are proposed from the perspectives of exterior styling and bottom guard plate. (1) Based on the principle of “front circle”, the airflow in the front bumper area is separated and optimized into a more body fitting surface, reducing the positive pressure and energy dissipation at the front; (2) Based on the “behind rear” principle, effective improvement of the airflow state at the rear end is achieved through tail wing sealing, partial downward pressure on the roof, inward retraction of the side wings in Y direction, partial upward movement of the tail light area, and optimization of the bottom profile of the rear bumper, which increased the negative pressure at the rear and further reduced the overall wind resistance of the vehicle; (3) By optimizing the aerodynamic wheel rims, flattened full coverage bottom guard plates, and other local details, the vortex shape in the wheel cavity area and the flow of bottom airflow are effectively improved, ultimately resulting in a drag reduction rate of over 30% for the SUV. The drag coefficient is controlled within 0.28, effectively reducing the overall drag coefficient of the vehicle, meeting the development needs of vehicle performance, and improving the endurance of the SUV model.

The current vehicle performance benchmarking system is inadequate for the development needs of new energy products.This study proposes a innovative method for vehicle performance benchmarking. This method optimizes the selection process of core competitors and obtains key performance parameters and control strategies through a combination of competitor bus signal analysis and experimental bus data. The results indicate that the vehicle performance benchmarking method proposed in this study enhances metrics and control strategies and significantly improves the depth and breadth of vehicle performance benchmarking. It effectively fills the gaps in the performance benchmarking of new energy competitors and offers comprehensive support for the development of vehicle product performance.

In view of in-vehicle system environment, users need a variety of multimedia audio sources coexist, which is necessary to provide users with a unified interactive experience of in-vehicle multimedia services, so as to reduce users’ learning costs, and provide the ultimate audio-visual services. This paper describes an application design method that fosters a unified interactive experience for in-vehicle multimedia services by utilizing techniques such as integrated architecture, systematic hierarchical structure, and modular extraction to achieve multi-source audio fusion. The proposed method effectively addresses challenges including inconsistencies in user interaction experiences, seamless transitioning across applications, and the repetition of development for universal content modules that arise from the independent design of various audio sources, and effectively improves in-vehicle interactive experience, system interaction consistency and development efficiency.

To address the problem of jerking phenomenon experienced by dual-clutch transmission vehicles at low speeds and to enhance dynamic response capabilities and shift quality, this paper investigates a specific passenger car equipped with a dual-clutch transmission. Utilizing the AVL-DRIVE driving quality evaluation system, shift tests are conducted under various driving modes. The results indicate significant differences in shift quality across different driving modes. Analysis is performed on the items with lower ratings, and optimization strategies are proposed, providing a reliable basis for automobile manufacturers to improve the overall vehicle quality.

In view of the electric vehicle high-voltage relay adhesion failure phenomenon, Fault Tree Analysis (FTA) is used to perform the relevant reliability analysis. By analyzing the electrical system in which the high-voltage relay is located, a relay Adhesion failure fault tree model is built to analyze it qualitatively and quantitatively. Finally, the minimum cut set of the fault tree and the top event failure probability are solved, and the weak links causing the adhesion failure are identified based on the importance analysis.

Range-Extend Electric Vehicle（REEV) has stronger adaptability to user scenarios. To study the current market status of REEV, this paper discusses the advantages and disadvantages of REEV from the users’ perspective, specifically focusing on the analysis of the advantages of REEV in terms of driving range (especially low-temperature driving range) and user experience. Consequently, the user portrait of REEV is sorted out. The results show that REEV has great attraction to users with mileage anxiety in cold climates who prefers the pure electric driving experience, and have development space in the next decade.

In order to ensure that the software upgrade activities of intelligent networked vehicles comply with the R156 regulations, the R156 regulations are interpreted and an optimization scheme of software upgrade managerment system based on R156 regulation certification system. First ofall, an construction and implementation plan based on the remote update of the software upgrade management system is proposed. The components of RX Software Identification Number (RXSWIN) are described, the electronic control units that are relevant to the regulations are identified, and the software upgrade involving changes to certification parameters should update the RXSWIN. After the vehicles are off the assembly line, the central gateway reads the RXSWIN issued by the software upgrade management system and transmits the initial value to the vehicle for display. In terms of the construction of the software update management system (SUMS), the SUMS management system documents, SUMS management process documents, and related file storage schemes are analyzed, and the documents required for the certification of the SUMS are listed. Finally, according to the requirements of R156 regulations for vehicle type approval (VTA), the model products are thoroughly tested and evaluated, the test items are described. It provides a guidance scheme for the software upgrade management construction for automotive enterprises.

In order to comprehensively understand the construction standards for intelligent connected vehicle closed proving grounds, this paper provides an in-depth analysis of the “Specification for the Management of Road Testing of Intelligent Connected Vehicles (Trial)” and related standards and regulations. The specific requirements for 14 tests of intelligent connected vehicles in closed proving grounds are summarized. The main contents of constructing the closed test field for intelligent networked vehicles are organized. According to the relevant requirements, the intelligent networking transformation of the Hainan Proving Ground has been completed from 3 aspects: park renovation, hardware equipment facility construction, and software platform construction. This transformation aims to meet all closed test requirements for intelligent connected vehicles, serving as a reference for the construction of closed proving grounds or the upgrade of traditional proving grounds into intelligent connected proving grounds.

Hubei Province is major automobile province that represents the prospects for the new energy vehicle industry in China. In order to enhance the competitiveness of the new energy vehicle industry in Hubei Province, This paper employs the “diamond model” to construct the evaluation index system of the competitiveness of the new energy automobile industry in Hubei Province. Determining the weight of each evaluation index by entropy method, and then calculates the scores of each evaluation index of Hubei Province and other benchmarking cities. A comparative analysis is conducted to examine the competitive advantages and shortcomings of Hubei’s new energy vehicle industry. The results show that the competitiveness of the new energy vehicle industry in Hubei Province is at the upper-middle level in the country, and the industrial development foundation has obvious advantages over other provinces and cities. However, there are still problems such as lagging supporting infrastructure, insufficient motivation for innovation and development, and low degree of regional openness and marketization. Therefore, the government should speed up the construction of industrial infrastructure facilities, vigorously cultivate and introduce professional talents, increase the research and development of core technologies and create a good consumption environment.