In order to ensure that the vehicle has good dynamics during the process of driving rights switching, this paper sets up the control system to control the vehicle dynamics during the driving rights switching. A virtual simulation experiment platform for man-machine co-driving was built. Based on this platform, driving rights switching scenarios was set up, and a hierarchical control system was designed to control the vehicle dynamics with the goal of coordinated control of the vehicle’s lateral stability, ride comfort and power. In order to test the effectiveness of the control system, this paper sets up two scenes of straight road switching and curve switching. In each scenario, two working conditions of 50km/h and 120km/h are set for simulation experiments. The simulation results show that: no matter the straight or corner road switching, the driver can take over the driving right before the collision at all speeds. When the driving right is switched on the straight, the vertical acceleration change rate of the vehicle under the control of the system is small, the vehicle speed is higher, and the ride comfort and power of the vehicle are well. When the driving right is switched on the curve, the actual value of the yaw rate of the vehicle can better follow the change of the ideal value, which can ensure the lateral stability of the vehicle, but the ride comfort is poor. The control effect of the control system at working conditions of 50km/h is better than 120km/h.">

Designing the quantitative research on follow-up of the national strategy (NS) to the practice of government organizations (GOs) according to the 6^th-NS on rebalancing and developing management systems (R&D-MS) was described. The variance in driving the NS to the practice of the GOs according to the 6^th-NS on the R&D-MS of the GOs in Thailand by category of Ministries and under the Ministries was classified. The problems and obstacles in driving the NS to the practice of the GOs according to the 6^th-NS on the R&D-MS were monitored. The recommendations and guidelines for operational development that are consistent and in line with the goals of the NS in the R&D-MS of the GOs were suggested with a sample size of 182 government agencies at the department level or equivalent was selected. Using the questionnaire on five option scales, and the quality was examined by means of the content validity and the confidence determination. Statistically significant with frequency, percentage; mean and standard deviation, One-way MANOVA and content analysis were analyzed. It has found that the monitoring the driving of the NS into the action level is agree with of 78.56% on public services. The R&D-MS into the practice of the GOs indicated that of almost agree with of 82.90% for driving the NS into the actions of the public sector shifts on three options: such as people-centered composition of their satisfaction level with publish services; 80.10% of the integrated management components of modernization in operation; and conveniently, responsively, and transparently responds to people needs for driving into the actions with 5 elements that including transparency free from corruption and misbehave (79.82%), laws and context change (79.19%), government personnel (79.03%), human rights and equality in the justice system (75.55%), and size of the organization and participation of the public sector (69.31%). The variance in driving the NS to the practice of the GOs according to the 6^th NS that included the R&D-MS of the government organizations as a whole are not different; analysis of the conditions of problems and obstacles in driving the NS into the actions are budget and resource allocation problems, the agencies aren’t allocated technology estimates to develop management systems, and the agencies haven’t received estimates for human resource development, respectively. Therefore, the government should prepare personnel to be ready and budget accordingly, bring digital technology to be optimized, and there should be the main host to create a platform to link the information.

In view of the poor adaptability of automatic emergency braking system (AEB) for passenger cars to  multi traffic scenarios, an active collision avoidance control strategy is proposed based on TTC (time to collision) and braking distance model. According to the steering wheel angle and yaw rate, the scene recognition method is presented for different sections of curve and straight road. Based on the MMW radar detection data, according to the driving characteristics of different straight and curve sections, the target information is modified and the effective target information is extracted in the same lane to prevent AEB misjudgment. At the same time, the extended Kalman filter is applied to predict and track the moving targets in real time. Simulation and real vehicle verification are carried out for three typical scenarios: car following in curve, pedestrian crossing and vehicle cut-in situation in straight road driving. The results show that the active collision avoidance control strategy proposed in this paper can effectively avoid collision in multiple scenarios and improve the active safety of vehicles.">

It is essential that defense industry technologies are produced with local resources. Avoiding dependence on foreign suppliers is vital in meeting defense needs. A country's independence largely depends on the defense industry. Countries that cannot produce their own weapon systems, are dependent on other countries in the defense industry, and whose weapon systems are defined by other countries, are never fully secure. Moreover, countries that produce weapon systems may sometimes not want to sell the systems you need, even if you want to pay more. In this study, a prototype of an electromagnetic launcher, which is needed in the weapon and defense industry, has been designed and solutions to the problems that may be encountered in electromagnetic launchers are discussed. In the design, sufficient magnetic power was produced in a very short time, the conductive material used (8-10 gr.) was thrown and the effects of this process on the material were investigated. While the application is being carried out, different design ways have been evaluated using experimental analysis and simulations. The advantages and disadvantages of each design method are revealed and the most appropriate method has been chosen. The designed electromagnetic launcher takes its energy from the network, different from the samples examined. The electromagnetic launcher, which obtains usable values ??thanks to the AC-DC converter, charges the capacitors in the next step. The charged capacitors are rapidly discharged through the coil with the help of the switching circuit. Thus, the conductive material is ejected with the generated force.

Based on the analysis of vector control system, using SVPWM voltage pulse width vector modulation technology, the simulation model of PMM-motor double closed-loop control system was built on Matlab/ SiumLink platform, the simulation results show that the control system has high response speed, small amount of overshoot, it has good dynamic and static characteristics. It can meet the practical requirements and provide theoretical basis for the design and development of the motor controller in the later stage.

To address the problems associated with single-objective path planning, this paper proposes a method to plan the optimal charging path of electric vehicles considering multiple objectives. Firstly, the paper constructs the traffic road network model, and then a multi-objective charging path planning model is established that considers the factors such as time, distance and energy consumption. In addition, the weight coefficient of each sub-objective determined by using analytic hierarchy process (AHP) and entropy weight model. Finally, the simulation analysis about multi-objective charging path planning is completed by using the Dijkstra algorithm. Compared with the single-objective path planning, the multi-objective can satisfy the different charging path selection requirements of drivers and provide the optimal charging path according to the drivers’ demand.

In order to improve the estimation accuracy of driving range, this study proposed a calculation method for driving range of electric vehicles (EV) based on vehicle driving conditions and considering the information of vehicles, people and road. Firstly, the driving cycle data of EVs were collected, and then the driving cycle and driving energy were classified and identified by using principal component analysis and fuzzy clustering method. Moreover, the driving style was identified by means of the standard deviation of acceleration and the standard deviation of acceleration change rate. Finally, the method to determine the correction coefficient of driving style on vehicle energy consumption under different working conditions was given

In this paper, the influence of double injection strategy on combustion and emissions of gasoline compression ignition (GCI) has been analyzed, in order to solve the problem of poor performance under low load conditions. The engine model is established through CONVERGE software, and the simulation research on injection parameters, such as the pre-injection timing, the pre-injection ratio were carried out with an internal exhaust gas recirculation (EGR) rate of 40%. Results show that higher thermal efficiency and lower emissions can be achieved when the pre-injection ratio reaches 60%. As the pre-injection timing advances, the optimized pre-injection ratio is gradually increased. With the increase of the pre-injection ratio, the combustion duration gradually shortens and the indicated mean effective pressure (IMEP) shows an upward trend. Therefore, a reasonable mixture in the cylinder can be organized by the double injection strategy, thereby, achieving clean and efficient combustion under low load conditions.

In the process of detecting obstacles around the intelligent vehicle by relying on three-dimensional lidar, the lidar body moves along with the vehicle carrier, and all the laser points scanned are based on the lidar body as the origin of coordinates, which leads to the point cloud motion distortion in different coordinate systems for each laser point. At the same time, due to the uneven density of LIDAR scanning point cloud, the traditional DBSCAN clustering algorithm has low detection accuracy for obstacles at different distances, and it is easy to misdetect obstacles at close range or miss detection at long distance. In order to solve the above problems, this paper proposes a point cloud distortion correction method that integrates high frequency IMU. Meanwhile, the traditional DBSCAN clustering algorithm is improved to make it adaptively change the distance threshold, accelerate the search speed of the clustering algorithm and improve the clustering effect. The actual vehicle test on the intelligent vehicle platform verified the effectiveness of the proposed algorithm. The test results show that the distortion removal effect is obvious, and the near and far obstacles can be detected quickly and accurately at the same time.

Taking the course of "Principles of Steel Structure Design" as an example, it combines "knowledge transfer" and "value guidance". It introduces the ideological and political concepts of the course into the course teaching design link, which improves the effect of course teaching. The goal of professional knowledge is achieved, at the same time, the moral education teaching goal of the course is realized.