Abstract:

Based on the independently developed five-speed dry dual clutch transmission and its mounted prototype car, a fuzzy compensating slop shift schedule was developed. Firstly, the vehicle mass and slope were estimated in real time with the method of modified recursive least squares based on the vehicle longitudinal dynamics model. Then a BP neural network was established to calculate the estimated parameters. Secondly, a fuzzy compensating slop shift schedule was devised based on fuzzy logic. Finally, the effectiveness of fuzzy compensating slope shift schedule was verified by the simulation and HIL test platform. The results show that the fuzzy compensating slope shift schedule can solve the frequent shift and unexpected shift phenomenon caused by the slope effectively,and decrease the action frequency of DCT synchronizer and improve the driving comfort.

Key words: dual clutch transmission (DCT), fuzzy compensating slope shift schedule, slope estimation, slope mapping; , hardware in the loop(HIL)

摘要：

基于自主开发的5速干式双离合器变速器(dual clutch transmission, DCT)及样车，得到了双离合器变速汽车坡道模糊修正换挡规律。首先，基于纵向车辆动力学模型，运用改进型最小二乘法对整车质量与道路坡度进行实时辨识，并利用BP神经网络对实时辨识结果进行映射求解;进而，运用模糊控制方法，制定双离合器变速汽车坡道模糊修正换挡规律;最后，通过离线仿真与硬件在环实验研究验证了坡道模糊修正策略的有效性。仿真结果表明，在坡道行驶时，开发的坡道模糊修正换挡规律能有效地解决传统二参数换挡规律引起的频繁换挡和意外换挡现象，减少DCT同步器的作动次数，提高整车的舒适性。

关键词: 双离合器自动变速器, 坡道模糊修正换挡策略, 坡道辨识, 坡道映射, 硬件在环仿真