To address unavoidable dimensional clearance issues in motor products caused by manufacturing and assembly processes, a mathematical model for new energy vehicle motors considering clearance is established based on the second kind of Lagrange equation, incorporating the Lankarani-Nikravesh model and Hertz theory. Subsequently, a finite element simulation model is developed in ADAMS, and time history integration is performed using the Newmark integration method. The analysis statistically evaluates the effects of different types of structural clearance on the output rotational characteristics. The influence of clearance types and magnitudes on the dynamic performance of the motor is elucidated, providing theoretical support for the design improvement of new energy vehicle motor parameters.

Intelligent cockpits are developing rapidly toward intelligence, comfort, and personalization. The growing demand for improved cabin experience has driven the upgrading of performance requirements for optical materials, allowing their performance advantages to be fully utilized. This paper focuses on the development of optical display, light regulation and perceptual imaging technologies in automotive intelligent cabins, as well as the application of optical materials. It specifically covers 4 aspects: central control display, Head-Up Display (HUD), smart adjustable glass, and autonomous driving sensor imaging. The requirements of cabin function realization for optical materials in various scenarios and the relevant research achievements are analyzed. Combined with the current situation of engineering applications and through the analysis of user experience feedback, this paper clarifies the key future development directions, so as to provide a reference for the research, engineering application and optimization upgrading of optical materials for intelligent cabins.

To address common quality issues affecting user experience in intelligent cockpits, such as system response delays and speech recognition errors, this study researches intelligent cockpit testing systems and technologies. Using response time, speech recognition rate, and wake-up rate as evaluation metrics, a bonus point scoring method is applied to assess the automotive intelligent cockpit system. Test results from two vehicle models demonstrate that the proposed method enables comprehensive, efficient, and objective evaluation of cockpit performance, accurately identifies functional shortcomings, and provides effective quantitative tools and solutions for the development, testing, and quality enhancement of intelligent cockpits.

In order to systematically and scientifically evaluate the active service capabilities of the intelligent cockpit, and to address the issue that the existing evaluation systems mainly focus on the overall cockpit but lack specific assessment of active service functions, this paper defines the evaluation scope of active services, comprehensively investigates the characteristics of active service functions of mainstream vehicles, industry standards, and enterprise practical experiences, and combines real vehicle tests to establish a dual-dimensional evaluation system for product intelligence and user experience. Among them, the product intelligence dimension focuses on evaluating the accuracy, response speed, and practicality of the functions, while the user experience dimension focuses on the intuitiveness of the interface, the rationality of the layout, and the comfort of human-computer interaction. The evaluation indicators and scoring rules adopted by this study can provide theoretical support and practical guidance for optimizing the design of active service functions of intelligent cockpits and enhancing the market competitiveness of products, and also offer references for research in the field of intelligent cockpits.

To enhance the crash safety of occupants in the zero-gravity posture, a zero-gravity seat design with a rapid return mechanism is proposed based on the analysis of application scenarios and the current techinal status of zero-gravity seats. The proposed scheme employs rapidreturn structures for the seat back and cushion, allowing the seat to promptly restore to appropriate backrest and cushion angles. In this configuration, the conventional occupant restraint system can operate as intended. Results from virtual simulations and frontal crash tests using Thor-AV dummies demonstrate that the occupant injury criteria for the neck, back, and abdomen are reduced to safe range, thereby effectively improving the safety performance of zero-gravity seats.

To address the problem of urban traffic congestion, restructure the future travel ecosystem, the paper focuses on the flying car industries of Europe, the United States, Japan as well as China. It analyzes the development characteristics and trends of the flying car industry from 3 dimensions: top-level policy strategies, industrial management systems and market implementation and application, and analyzes the multi-competitive landscape involving traditional aviation companies, automotive manufacturers, and emerging technology firms. Given the challenges of an immature technical system, imperfect management mechanisms, and inadequate market supporting facilities, the paper proposes recommendations from the perspectives of technological R&D, policy systems, infrastructure, and industrial synergy, aiming to facilitate the transformational development of the flying car industry from demonstration application to large-scale commercialization.

To optimize the low-drag aerodynamic configurations for new energy vehicles, flow control drag reduction methods are adopted into the low-drag design of new energy vehicles. An experimental investigation is conducted on the drag reduction effect of V-shaped streamwise grooves. Tests are performed in a low-speed recirculating wind tunnel using a DrivAer sedan model with both smooth and V-groove surfaces. Measurements include drag force, wake turbulence intensity, and vortex structures. The results show that within the Reynolds number (Re) range of 6×10⁵ to 3×10⁶, the drag coefficient decreases with increasing Re, and the V-groove surface exhibits a significant drag reduction effect. At Re=3×10⁶, the drag coefficient decreases by 0.003. The underlying mechanism is attributed to reduced wake turbulence intensity and smaller vortex scales, which aligns with turbulent drag reduction theory. These findings confirm the engineering applicability of V-shaped streamwise grooves and provide a new perspective for the low-drag aerodynamic design of new energy vehicles.

Through the coordinated control of the internal combustion engine and the electric motor, hybrid power systems achieve real-time power distribution optimization, thereby enhancing fuel economy and mitigating harmful emissions. To elucidate the evolutionary trajectory of Energy Management Strategy (EMS), the paper systematically reviews recent research achievements based on a literature analysis method. Existing strategies are classified into 4 categories: rule-based, global optimization, multi-objective optimization, and machine learning. Based on specific cases, the control principles, optimization objectives, implementation conditions, and performance of each strategy are elucidated. Furthermore, this paper summarizes the development laws and technical bottlenecks through a comparative analysis and outlines future research directions, providing a valuable reference for technological innovation and sustainable development in the new energy vehicle industry.

For a certain hybrid vehicle thermal management system, based on the overall vehicle thermal management architecture, a one-dimensional simulation model is established. Using the system outlet water temperature as a safety indicator, the heat dissipation performance of each subsystem under different driving conditions and the thermal interference effects of high-load air conditioning operation on the system are analyzed. The study constructs an integrated model including engine cooling, battery cooling, and the air conditioning system, and conducts simulations under 5 typical driving conditions. It reveals the thermal coupling effects among the high-temperature radiator, condenser, and low-temperature radiator in the front-end cooling module, and proposes a compressor and battery water pump fitted speed control strategy based on energy consumption optimization. Results show that under all conditions, the outlet water temperatures of all radiators remains within safe thresholds, confirming the feasibility of the system design. After adopting the fitted speed control strategy, the total energy consumption of the system decreases by 35.8%, 12.0%, and 6.1% at ambient temperatures of 30 ℃, 35 ℃, and 40 ℃ respectively, compared to linear control. The study demonstrates that through coupled thermal management modeling and energy consumption optimized control, the thermal management efficiency of hybrid vehicles can be effectively improved while ensuring system safety.

To enhance the computational speed of the hybrid transmission clutch and hydraulic system model, this paper employs the Neural Ordinary Differential Equations (NODEs) to reduce the order of the physical model. Initially, a pseudo-random number method is utilized to generate model inputs and obtain simulation results. Subsequently, the time-series data of system state variables are extracted as samples to train the NODEs model. The comparison between the physical model and the NODEs model reveals that the latter possesses excellent precision and generalization capabilities, significantly enhancing computational speed.