As a novel power steering technology, Differential Drive Assisted Steering (DDAS) technology for the independent-wheel-drive electric vehicle has gradually appealed to researcher’s attention. However, the previous experimental results show that its assistance quality cannot be fully accepted due to its caused sensitive steering wheel torque fluctuation in actual work environment. According to the working principle of the DDAS system, it is founded that the road roughness, the front wheel alignment parameters and sensor noise are the main factors that influence the quality of assisted steering and driver’s road feel. Hence the three factors are added as interference into the ideal vehicle model. The simulation results and its comparison with the previous real vehicle tests confirm this causality between these factors considered and the steering wheel torque fluctuation of the DDAS system. Then a robust H∞ loop-shaping controller is designed to solve the issue caused by these inner interferences and outer noises. Simulations results validate the proposed controller and show better steering wheel torque performance than the traditional anti-windup PID controller published in the literature earlier. The proposed robust controller is further verified via real vehicle tests and the results are similar to the simulation results which can effectively suppress the steering wheel torque ripple, improve the anti-interference ability of DDAS system and greatly improve the driver’s road feel.

In this study, single-phase Cs_0.33WO₃ nanocrystals were synthesized by a novel mist chemical vapor deposition method. As prepared, Cs_0.33WO₃ nanocrystals exhibited a microsphere-like appearance constructed with angular crystal grains with an average size of about 30–40 nm. Characterization by X-ray photoelectron spectroscopy indicated that Cs_0.33WO₃ nanocrystals consisted of mixed chemical valence states of tungsten ions W⁶⁺ and W⁵⁺, inducing many free electrons, which could scatter and absorb near-infrared (NIR) photons by plasmon resonance. These Cs_0.33WO₃ microspheres consisted of a loose structure that could be crushed to nanoscale particles and was easily applied for producing long-term stable ink after milling. Herein, a Cs_0.33WO₃/polymer composite was successfully fabricated via the ultrasonic spray coating method using mixed Cs_0.33WO₃ ink and polyurethane acrylate solution. The composite coatings exhibited excellent IR shielding properties. Remarkably, only 0.9 mg cm⁻² Cs_0.33WO₃ could shield more than 70% of NIR, while still maintaining the visible light transmittance higher than 75%. Actual measurement results indicate that it has really good heat insulation properties and shows good prospect in heat insulation window applications.

An organic solar cell (OSC) uses p-type and n-type organic layers sandwiched between a transparent electrode and a metallic electrode

This study proposes a multiobjective optimization design method for the bed structure of CNC gantry machine tools to enhance their mechanical performance. A sensitivity analysis was first conducted to identify the key dimensions affecting the bed's mass and static and dynamic characteristics, which were then selected as optimization variables. Design of experiments was employed to obtain target values under various design variables, and the response surface method combined with neural network algorithms was utilized to approximate and validate the objective functions. Subsequently, the entropy weight method was applied to calculate the weight coefficients of multiple optimization objectives, establishing a comprehensive performance optimization model for the bed structure. Using MATLAB, three intelligent algorithms—simulated annealing, genetic algorithm, and particle swarm optimization—were employed to solve the optimization model. Comparative results before and after optimization demonstrated that the optimized bed structure achieved a maximum deformation reduction of 9.41%, a 5.75% increase in the first-order natural frequency, a 1.23% reduction in maximum stress, and a 0.64% decrease in mass. The proposed optimization method offers a novel approach for simultaneously reducing the weight of structural components while enhancing their static and dynamic performance.

Based on the current status of China's auto industry, it elaborates on the characteristics of modern Chinese apprenticeships and combines the importance of modern apprenticeships in the auto repair majors of vocational colleges. It finds out problems existing in current governments, companies, schools, teachers, and students, and proposes The solution provides a reference for the development of modern apprenticeships in China's vocational colleges.

With the development of society, our country pays more and more attention to higher vocational education. In order to make higher vocational college students use their time reasonably, this paper studies the current situation of China’s higher vocational education and the time management of higher vocational college students, and determines the research method by combining with preliminary interviews and observations. A questionnaire survey is conducted among 1017 students in Hainan College of Economics and Business. The software is used for statistical analysis and comparison, and the reliability, validity and influence are analyzed. The results are analyzed to determine the management methods, such as providing time management guidance for students, introducing students’ learning interest in teaching reform, increasing the opening time of training room, and strengthening the development of sports activities, so as to make higher vocational college students better learn theoretical knowledge and skills to adapt to the needs of society.