考虑动态服役性能和驾驶行为及行驶环境的DCT智能控制与评价方法

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.

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。

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，开展了考虑动态服役性能和驾驶行为及行驶环境的DCT智能控制与评价方法。重点对DCT关键部件及系统基础特性、内外部激励下DCT系统动态特性、基于知识的DCT系统智能控制方法、DCT系统故障诊断与主动安全容错方法及DCT整车性能测试与智能化评价方法进行了研究。取得如下创新成果：.（1）揭示了湿式离合器摩擦特性随服役时间的变化规律，建立了离合器和同步器“机-电-液”耦合动力学模型，提出了可实现离合器和同步器“机-电-液”执行机构快速精准响应的系统参数优化方法。.（2）建立了考虑内外部激励的DCT车辆耦合动力学模型，研究了内外部激励条件下的DCT系统起步/换挡动态特性，提出了考虑离合器性态变化和内外部激励影响的DCT系统起步/换挡自适应控制方法。.（3）建立了基于数据挖掘的DCT驾驶意图、行驶环境和最佳挡位关系的知识库，提出了考虑驾驶行为及行驶环境的DCT智能挡位决策方法和基于数据驱动的DCT车辆起步/换挡智能控制方法，显著提升了DCT控制系统智能化水平。.（4）建立了基于行驶数据的故障特征挖掘方法和故障特征与故障原因的映射关系，构建了随服役时间变化的动态故障数据库，提出了基于数据驱动的DCT主动安全容错控制方法。.（5）建立了DCT车辆行驶数据采集系统与实验体系，提出了DCT车辆起步/换挡性能评价知识挖掘方法和整车性能评价方法，构建了考虑驾驶意图和行驶环境的DCT智能控制品质评价体系。.相关研究成果已发表学术论文38篇（期刊论文29篇，会议论文9篇），其中SCI/EI期刊论文25篇，已授权国家发明专利8件，另申请国家发明专利11件，获软件著作权3项。获重庆直辖市科技进步一等奖1项，培养博士生11名，硕士生38名。