Due to the fact that the Hydraulic Hybrid Vehicle (HHV) which has a double-function, energy management and stability control, is a great advantage in the HHV, it is necessary to research the coordinated control between regenerative braking and stability. The research of the coordinated control between regenerative braking and stability of HHV is at the forefront of the study in this aspect. Based on the above factors, in this study, we propose an algorithm of regenerative braking and stability coordinated control. Firstly, we put forward the assembly institutions of the Parallel Hydraulic Hybrid Vehicle (PHHV), then we adopt the logic threshold algorithm to realize the distribution control and use the incremental joint PI control with variable parameters to realize the vehicle electronic stability control system (ESC) control. Simulink/Simscape in the MATLAB software is utilized for the offline simulation of the control algorithm of PHHV. The result of the simulation shows the effectiveness of the regenerative braking force distribution and ESC algorithm.
With faster transmission speed and lower latency of information, V2X is gaining more and more public attention. V2X mainly interacts with vehicle-vehicle, vehicle-road, vehicle-person and so on to build real-time information map of vehicle networking. Due to cost and technology constraints, the integration of vehicle intelligence and V2X intelligence will be the main trend of the development of auto-driving. Virtual simulation can not only meet the requirements of scene coverage, but also improve the security of test. It is the main means of automatic driving verification. This paper presents a simulation verification method based on VTD for the fusion of vehicle intelligence and V2X networking. The main purpose of this method is to make up for the limitations of vehicle intelligence in perception by using V2X networking characteristics. In the simulation software, the simulation of the fusion of vehicle intelligence and V2X networking is carried out to verify the advantages and disadvantages of the auto-driving algorithm. The simulation validation method makes up for the singularity of the conventional simulation. It can verify the repeatability and security of the fusion technology several times before it is applied to the ground, and improve the test efficiency and accuracy.
The launching of autonomous driving vehicle relies on enormous tests and a reasonable test evaluation system. Compared with the real vehicle test characterized by long test cycle, high cost, high risk and low coverage, virtual simulation tests are found with the advantages of infinite expansion of scenarios, arbitrary setting of traffic flow, dynamics-based parameterized vehicle simulation model and customized configuration of driver model. This paper based on international standards of L1-L2 automatic driving functions related to real world testing, delivered a methodology for test cases design. through function-based evaluation indicators and scenario-based evaluation indicators, a systematic and logical simulation test evaluation method and framework based on driving scenario is proposed.
KEYWORDS: Monte Carlo methods, Roads, Autonomous driving, Scene classification, Scene simulation, Autonomous vehicles, Statistical analysis, Unmanned vehicles, Standards development, Reflection
In order to better conform to the real driving scene, intelligent driving simulation test needs to generalize the test scene on the basis of the collected natural driving data. In this context, a scenario generalization method for intelligent driving simulation based on Latin hypercube sampling is proposed in this paper, which makes up for the defect of the traditional Monte Carlo scenario generalization, in which the scene parameters are not covered enough in each dimension and ensures the coverage of the generalized scene. The comparison experiment shows that the generalization method of intelligent driving simulation scenarios based on Latin hypercube sampling can be applied in a limited time. Almost all scenarios are covered within the sampling times. Under the condition that the sampling times are the same, the risk degree of simulated scenarios can be guaranteed to be consistent with the real data sources and have higher robustness.
The evaluation indicator model of the scenario trigger mechanism is constructed and proposed in this paper. By analyzing the elements of the V2X early warning function scenario, five indicators, which includes time to collision, the headway, the safe distance, the lane crossing time, and post conflict vehicle entry time are employed for the comprehensive assessment. The result demonstrate the priority relationship among the total 27 scenarios. It could support to detect and identify corner traffic scenarios, to broadcast safety warnings, to improve the performance of driving assist functions.
KEYWORDS: Roads, Telecommunications, Safety, Intelligence systems, Clouds, Information and communication technologies, Fiber optic communications, Data storage, Vehicle control
Aiming at the problem of how to carry out application scenario deployment and verification in the process of cooperative vehicle-infrastructure system from key technology research to application, the typical functional scenarios design and verification method of cooperative vehicle-infrastructure system is studied. The system architecture, classification of application scenarios and realizable effects of cooperative vehicle-infrastructure system are introduced in detail. The construction method of vehicle-infrastructure cooperation functional scenario verification platform is discussed. The evaluation parameters and expected response results of functional scenario verification are proposed. The verification methods and technical requirements for typical scenarios are established. The research results can achieve a comprehensive and reliable evaluation of typical scenarios of cooperative vehicle-infrastructure system.
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