基于动力需求的自动变速器挡位实时优化与在线决策技术

Selection of shift point is the focus in the field of automatic transmission technology, which directly affects the vehicle dynamic and economic performance, etc. In view of look-up table type shift schedule based on steady-state conditions suffering from many issues, such as long development cycle, high cost, and unable in real-time optimal trade-off between vehicle dynamic and fuel economy, while current online shift point decision method still encounters problems of imperfect power request definition, insufficient accuracy prediction model, and poor real-time performance. Therefore, in this project, research on real time shift point optimization and decision of automatic transmission based on power request is proposed from the perspective of driver-vehicle-road system. To obtain the highest efficiency of energy utilization is as the objective under the condition of meeting power request and drivability. By means of theoretical derivation, simulation analysis and experimental verification methods, analysis of mapping relationship between driver-vehicle-road system parameters and power request, accurate recognition and quantitative of system parameters and quantitative analysis of the energy loss in power transmission system are conquered as key technologies. Finally, general real-time optimization theory and method of shift point decision is formed and online shift point decision system is constructed. Effective decoupling between the vehicle dynamic and fuel economy is achieved in all driving condition range and the manual calibration of shift schedule are significantly reduced or completely replaced. The project achievements have important academic significances to perfect the automatic transmission theory and application value.

自动变速器挡位决策直接影响整车的动力性、经济性等性能，一直是汽车传动技术领域关注的焦点。针对基于稳态工况设计的查表式换挡规律存在开发周期长、费用高、无法实时兼顾动力性和经济性的问题，以及目前在线挡位决策技术研究存在的动力需求定义不完善、预测模型精度低以及实时性差等问题，本项目从人-车-路系统的角度出发，以整车动力需求为前提、驾驶操纵性为边界条件、最高能量利用效率为目标，提出基于动力需求的自动变速器挡位实时优化与在线决策技术的研究，通过理论推导、仿真分析与实验验证相结合的研究手段，突破动力需求与人-车-路系统参数间映射关系解析、实用化系统参数准确辨识和量化、动力传动系统能量损失定量分析等关键技术，形成通用的挡位实时优化理论与方法，创建在线挡位决策系统。实现全工况范围内动力性与经济性的最佳解耦，减少或完全取代换挡规律人工标定工作。项目成果对于完善自动变速理论具有学术意义和应用价值。

自动变速器挡位决策直接影响整车的动力性、经济性等性能，一直是汽车传动技术领域关注的焦点。针对基于稳态工况设计的查表式换挡规律存在开发周期长、费用高、无法实时兼顾动力性和经济性的问题，以及目前在线挡位决策技术研究存在的动力需求定义不完善、预测模型精度低以及实时性差等问题，本项目从人-车-路系统的角度出发，以整车动力需求为前提、驾驶操纵性为边界条件、最高能量利用效率为目标，建立了有级式自动变速器挡位决策客观评价指标体系，该指标体系不仅可以从宏观统计角度来评估挡位决策，而且能够揭示挡位决策对汽车性能的影响细节，为寻找更加有利于发挥汽车性能的挡位决策方法提供指导。提出了一套基于模型优化的挡位决策提取方法，解决了传统挡位决策开发过程中存在的标定主观性强、效率低、无法兼顾动力性和经济性等问题。提出了基于动力需求的换挡点预测控制方法，减少了人工标定的工作量，缩短自动变速系统开发时间、降低开发成本。提出了基于路况信息预知挡位在线决策方法，综合考虑计算精度和计算效率两方面，选择车辆前方有限时域的路况信息作为挡位决策依据提高了自动变速系统的智能化水平。通过理论推导、仿真分析与实验验证相结合的研究手段，突破动力需求与人-车-路系统参数间映射关系解析、实用化系统参数准确辨识和量化、动力传动系统能量损失定量分析等关键技术，形成通用的挡位实时优化理论与方法，创建在线挡位决策系统。实现全工况范围内动力性与经济性的最佳解耦。项目成果对于完善自动变速理论具有学术意义和应用价值。