Integrating Torque Vectoring and Active Suspension Systems Using a Game Theory-Based Control Framework
文献类型: 外文期刊
作者: Liang, Jinhao;Shen, Cheng;Yin, Guodong;Pi, Dawei;Fang, Zhenwu
作者机构:
关键词: Tires;Vehicle dynamics;TV;Torque;Optimization;Dynamics;Game theory;Electric vehicles;Load modeling;Suspensions (mechanical systems);Torque vectoring;active suspension;electric vehicles;game theory;model predictive control;system stability
期刊名称: IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
ISSN: 1545-5955
年卷期: 2026 年 23 卷
页码:
收录情况: SCIE(2025版) ; ; EI(2025版)
摘要: The modular chassis architecture of distributed drive electric vehicles (DDEVs) provides flexibility for integrating more electrical control units. To address the challenge of enhancing longitudinal dynamics while guaranteeing ride comfort, especially under frequent urban acceleration and deceleration conditions, this paper proposes a multi-agent system (MAS)-based framework to integrate the torque vectoring system (TVS) and the active suspension system (ASS), aiming to achieve better vehicle dynamics performance. First, a half-vehicle dynamics model is constructed to describe the coupling between longitudinal and vertical motions. The polytope technique is employed to address tire nonlinearity and time-varying system states. Then, cooperative control between the TVS and ASS is developed using the MAS system, where interaction behavior is modeled based on distributed model predictive control (DMPC) optimization results, and game theory is applied to find the optimal solution. This design effectively addresses the need for modularity and scalability in integrated chassis control systems. Furthermore, terminal constraints are introduced to ensure system stability performance. Finally, the experimental tests are performed to verify the performance of the proposed MAS framework. The results demonstrate the effectiveness in enhancing vehicle longitudinal driving performance while ensuring driving comfort. Note to Practitioners-Distributed drive electric chassis, with its advantages of rapid response and precise control, has become a critical platform for autonomous vehicles. The gradual advancement of electronic control units has driven original equipment manufacturers to integrate these electronic control units to enhance chassis performance. Many leading manufacturers, including Volvo, Mercedes-Benz, BMW, and Toyota, have been at the forefront of incorporating advanced ECUs into their vehicles, such as those used for electric power steering and automatic emergency braking. Considering that frequent acceleration and deceleration in urban driving conditions are more likely to affect the vehicle's vertical motion, this work aims to integrate torque vectoring and active suspension systems to improve the vertical motion of distributed drive electric vehicles while ensuring longitudinal driving performance. However, conventional centralized control methods struggle to meet the plug-and-play requirements for integrating electronic control units. Therefore, this paper proposes a MAS-based distributed framework to achieve functional scalability and modular design. This technology is expected to become a new paradigm for the integration of electronic control units.
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