About this Research Topic
In the context of environmental protection and energy transition today, the research and development of new energy vehicles has become a global focus. As one of the core basic theories of performance research of new energy vehicles, vehicle dynamics and control not only involve the design and optimization of automotive components, assemblies and systems, but also are crucial to the improvement of vehicle performance. At the same time, the introduction of intelligent technology, such as autonomous driving technology and the Internet of Vehicles, can greatly improve the ride comfort and optimize the energy management and driving strategy of vehicles, which brings new challenges and opportunities for the dynamics and control of new energy vehicles. Therefore, the research on dynamics and control of new energy vehicles is particularly important.
Focusing on the research topic of "Dynamics and Control of New Energy Vehicles", the following problems are to be solved. First, how to achieve accurate dynamic modeling in complex driving environments to ensure the stability and safety of performance of new energy vehicle. Secondly, how to optimize the control strategy under different driving conditions to improve the energy efficiency and maneuverability of the new energy vehicle. Finally, how to effectively use intelligent algorithms and technologies to meet the challenges of real-time data processing and decision-making.
In order to achieve these goals, the following methods can be taken. First, establish a high-precision dynamic model, combine experimental data and simulation technology, and improve the description of vehicle dynamic behavior. Secondly, advanced control algorithms are developed and verified to adjust the vehicles' power system and energy management strategy through real-time data analysis and feedback. Finally, the integration of intelligent technology is promoted to realize real-time information interaction with the traffic environment, and the system integration and control logic are optimized in combination with the requirements of the autonomous driving system.
This collection mainly covers the following four aspects.
-Modeling and simulation of power system: The power system model of new energy vehicle is studied to realize modeling and simulation, and its influence on vehicle performance is evaluated from three aspects: acceleration, braking and endurance;
-Dynamics control strategy: Study advanced control algorithms for new energy vehicles, optimize the stability of the vehicle during acceleration and braking;
-Intelligent system integration: Solve the integration problem of autonomous driving system and new energy vehicle dynamics, optimize path planning, real-time decision-making and obstacle detection;
-Performance evaluation and testing: Develop new test methods and standards, and conduct real vehicle tests to evaluate and verify the dynamic performance of new energy vehicles.
This research topic aims to comprehensively improve the dynamic performance and control ability of new energy vehicles. Manuscript types are recommended as review manuscripts or original research papers.
Focusing on the research topic of "Dynamics and Control of New Energy Vehicles", the following problems are to be solved. First, how to achieve accurate dynamic modeling in complex driving environments to ensure the stability and safety of performance of new energy vehicle. Secondly, how to optimize the control strategy under different driving conditions to improve the energy efficiency and maneuverability of the new energy vehicle. Finally, how to effectively use intelligent algorithms and technologies to meet the challenges of real-time data processing and decision-making.
In order to achieve these goals, the following methods can be taken. First, establish a high-precision dynamic model, combine experimental data and simulation technology, and improve the description of vehicle dynamic behavior. Secondly, advanced control algorithms are developed and verified to adjust the vehicles' power system and energy management strategy through real-time data analysis and feedback. Finally, the integration of intelligent technology is promoted to realize real-time information interaction with the traffic environment, and the system integration and control logic are optimized in combination with the requirements of the autonomous driving system.
This collection mainly covers the following four aspects.
-Modeling and simulation of power system: The power system model of new energy vehicle is studied to realize modeling and simulation, and its influence on vehicle performance is evaluated from three aspects: acceleration, braking and endurance;
-Dynamics control strategy: Study advanced control algorithms for new energy vehicles, optimize the stability of the vehicle during acceleration and braking;
-Intelligent system integration: Solve the integration problem of autonomous driving system and new energy vehicle dynamics, optimize path planning, real-time decision-making and obstacle detection;
-Performance evaluation and testing: Develop new test methods and standards, and conduct real vehicle tests to evaluate and verify the dynamic performance of new energy vehicles.
This research topic aims to comprehensively improve the dynamic performance and control ability of new energy vehicles. Manuscript types are recommended as review manuscripts or original research papers.
Keywords: New energy vehicles, Vehicle dynamics, Longitudinal and lateral control, Model predictive control, Autonomous driving systems
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