为解决双离合器自动变速器（DCT）自适应能力和智能化水平低导致的离合器烧蚀、起步换挡响应慢/抖动大、频繁/意外换挡和系统性能随服役时间变差等问题，开展DCT智能控制系统的基础研究。研究离合器摩擦系数、磨损率、温升等性态随服役时间的变化规律，离合器/同步器执行机构“机-电-液”耦合动态特性和DCT系统内外部激励对车辆起步换挡性能的影响规律，在此基础上研究考虑离合器/同步器模块“机-电-液”动态服役特性和DCT系统内外部激励的整车起步换挡自适应控制方法；通过对海量行驶数据的知识挖掘，建立反映驾驶员行为特征、行驶环境与DCT系统最佳运行参数映射关系的知识库，研究基于系统服役状态和知识库的DCT智能控制方法，研究基于动态故障数据库的故障诊断与主动安全容错策略和智能控制系统的评价方法，最终构建基于知识的DCT智能控制系统及其性能评价体系，为提升DCT整车性能和智能化水平提供理论基础和技术支撑。

In order to tackle the problems of the dual clutch transmission (DCT) caused by insufficient adaptive ability and low level of intelligent control (i.e. clutch ablation, slow response and large vibration during starting and shifting, frequent and unexpected gear shift, system performance deterioration with service time), this project looks into the intelligent control for DCT. Firstly, how the clutch friction coefficient, wear rate and temperature rise vary with service time is studied, and the effects of the clutch/synchronizer actuator’s ‘mechanical-electrical-hydraulic’ coupling dynamic characteristics and internal or external excitements of DCT on the starting and shifting quality are analyzed. Then, an adaptive control scheme for starting and shifting of DCT is proposed, taking into account the clutch and synchronizer module’s ‘mechanical-electrical-hydraulic’ varying service characteristics and internal or external excitements. Secondly, a knowledge database correlating the driver behavior characteristics, driving environments and DCT system optimal operating parameters is established, by means of analyzing massive amount of driving data. Then, the knowledge-based DCT intelligent control is studied, taking into account the system state variation. Besides, the fault diagnosis and active safety fault tolerance strategy are studied based on the dynamic fault database. And the performance assessment method of DCT intelligent control system is established. Finally, the knowledge-based DCT intelligent control system and its performance assessment methods are established. The above works will lay theoretical foundation and provide technical support for DCT comprehensive performance and intelligence level.