GOALI: Optimal Hybrid Control and Coordination of Engine and Transmission Systems

小行星9634375 本计画的主要目的是开发新的最佳混合控制方法，并探讨可行的控制策略，以协调和强健控制汽车引擎与传动系统。 该项目将制定和研究某些通用的最优混合动力控制问题，这些问题的强烈动机是汽车动力系统的稳定和性能优化问题。 在汽车应用方面，离散的行动将是VDE（可变排量发动机）和变速器齿轮的选择。 性能指标将被引入到制定一个最优的混合控制问题。 将研究和开发可行的混合控制方法。 该项目对于更好地理解混合动力控制系统的基本特征以及开发混合动力系统的可靠设计方法具有重要意义。 采用动力系统控制作为基准问题的方法将为PI和行业合作者提供问题制定的深刻动机，澄清证明设计假设的标准，以及设计验证的平台。 该项目将为混合动力系统提供某些基准问题和可行的控制策略，并有助于缩小良好的直觉和严格的问题制定之间的差距，试错设计和可靠的控制方法之间的差距，以及面向应用的方法和数学理论之间的差距。 该项目将为PI和福特汽车公司的研究人员提供一个长期深入合作的绝佳机会。多位博士研究所的学生将参与该项目作为其论文研究的一部分，并将由行业合作者共同监督。将开发一个关于汽车控制系统的研究生课程。 ***

9634375 Wang The main objective of this project is to develop new optimal hybrid control methods and to investigate feasible control strategies for coordination and robust control of automotive engine and transmission systems. The project will formulate and investigate certain generic optimal hybrid control problems which are strongly motivated by the problem of stabilization and performance optimization in automotive powertrain systems. In terms of automotive applications, the discrete actions will be VDE (variable displacement engine) and transmission gear selections. Performance measure will then be introduced to formulate an optimal hybrid control problem. Feasible hybrid control methods will be investigated and developed. This project will be of importance in gaining a better understanding of essential features of hybrid control systems, and in developing reliable design methods for hybrid systems. The approach of employing powertrain control as benchmark problems will provide the PI and industry collaborators with insightful motivations for problem formulation, clarifying criteria for justifying design assumptions, and a platform for design verification. This project will provide certain benchmark problems and feasible control strategies for hybrid systems, and contribute toward narrowing the gaps between good intuition and rigorous problem formulation, between trial-and-error design and reliable control methods, and between application-oriented methodologies and mathematical theory. The project will provide an excellent opportunity for intensive long-term cooperation between the PI and researchers at Ford Motor Company. Several Ph.D. students of the PI will participate in the project as part of their dissertation research and will be jointly supervised by the industry collaborators. A graduate-level course on automotive control systems will be developed. ***