双离合器自动变速器(DCT)具有效率高、节能环保的优势，但随着执行机构的增加，控制自由度和动力学耦合复杂度也随之增加。换挡规律优化和换挡过程控制是DCT换挡电控系统开发的核心，目前仍存在“频繁换挡和意外换挡、低速换挡顿挫感明显、控制器标定量大”等问题。这类控制问题属于有系统约束的多目标协调优化问题，适合在具有信息实时更新及显式处理约束条件能力的模型预测控制MPC框架下加以解决。因此，本项目重点研究：建立面向DCT换挡系统优化和控制任务的数据/机理混合模型；利用车载定位系统等提供的道路信息(坡道，弯道等)，综合考虑动力性、舒适性及驾驶习惯等因素，提出DCT滚动优化智能换挡策略及换挡过程滚动时域优化控制方法；研究面向工程应用的滚动时域优化方法高效低成本实现。通过本项实施目有望解决DCT系统实际应用的迫切需求问题，充分发挥控制理论与控制科学在换挡控制系统优化、控制和实现技术的基础支撑作用。

Dual Clutch Transmission (DCT) has advantages of high efficiency, energy saving and environmental protection. However, the control degrees and complexity of dynamic coupling are increased with the actuator increased. The automatic shift schedule optimization and gearshift control are basically two core issues for developing the DCT control system. There are a few issues are remaining, particularly in some special driving conditions, such as frequent and unexpected gearshift, shaking during gearshift process at low speed, large amount of calibration during design process. The control problem of DCT gearshift system is a constrained multi-variable and multi-objective optimization problem, which is suitable to be solved under the framework of Model Predictive Control (MPC),which is a control method often used in real time with ability to explicitly solve problems with system constraints based on updating data. In this project, under the framework of MPC, we focus on developing hybrid data/mechanism model in gear shift optimization and clutch control; proposing an intelligent strategy for gear shift optimization and clutch control during gear-changing process of vehicles with DCT, in which factors of drivability like dynamic performance, comfort of the driver and driving habits are considered using road information obtained by GPS and GIS, such as slope, bend and levels; developing a fast algorithm and achieving its real-time implementation with lower cost, for engineering applications to the moving horizon optimal control problem. The urgent problems of DCT in engineering practice are expected to be solved through the implementation of the project, and the longitudinal dynamic performance of vehicles would be improved. Moreover, the project will promote the trend of interdisciplinary of control science and vehicle engineering, and will broaden the field of control applications, and thus has a very important academic and practical meaning.