Efficient Mode Transition Control for Parallel Hybrid Electric Vehicle with Adaptive Dual-loop Control Framework

Efficient Mode Transition Control for Parallel Hybrid Electric Vehicle with Adaptive Dual-loop Control Framework
复制标题

具有自适应双环控制框架的并联式混合动力电动汽车的高效模式转换控制

DOI:
10.1109/tvt.2019.2962509
复制
发表时间:
2020
影响因子:
6.8
通讯作者:
Wang Xiangyu
Wang Xiangyu
中科院分区:
计算机科学2区
文献类型:
--
作者:
Yang Chao;Shi Yang;Li Liang;Wang Xiangyu

文献摘要

被引文献

相似文献

混合动力系统的模式转换控制问题一直是人们关注的焦点,因为这一过程涉及发动机启动、离合器接合、执行器控制等复杂的暂态动力学过程,特别是对于并联式混合动力汽车(HEV)来说,模式转换过程中的驾驶性能问题是一个重要而又具有挑战性的问题。针对并联式混合动力汽车离合器接合问题,提出了一种基于自适应双环控制框架的模式转换控制方法。首先,通过两种方法计算期望离合器接合速度,一种是基于粒子群优化算法的优化方法,另一种是折衷考虑车辆瞬时急度和离合器打滑功率的实用方法。利用积分变换,得到内环要求的离合器位置轨迹。针对离合器执行机构系统中存在的不确定性和间隙,在内环中设计了自适应状态反馈控制器。仿真和实验结果表明,在考虑离合器执行器不确定性的情况下,所提出的控制方法能有效地改善混合动力汽车的行驶性能。此外,与实际中常用的控制方法相比,该方法可以缩短模式转换过程的时间,并可以将车辆的颠簸控制在可接受的范围内。
Mode transition control problem in a hybrid powertrain has always been a central concern, because many complicated transient dynamics are involved in this process, such as engine-start, clutch engagement, and actuator control, etc. Especially for a parallel hybrid electric vehicle (HEV), the drivability problem during mode transition process is significant yet challenging to solve. In this paper, a new efficient mode transition control method with adaptive dual-loop control framework is proposed for the clutch engagement in a parallel HEV. Firstly, the expected clutch engaging speed can be calculated by two approaches, optimization method via particle swarm optimization algorithm, and practical method by compromising the transient vehicle jerk and the clutch slipping power, respectively. Utilizing the integral transformation, the demand clutch position trajectory for the inner loop can be obtained. Considering the uncertainties and the backlash in the clutch actuator system, an adaptive state feedback controller is designed in the inner loop. Simulation and experimental results show that the proposed control method can effectively improve the HEV drivability while taking clutch actuator uncertainties into consideration. Furthermore, compared with the control method commonly used in practice, the time of mode transition process can be shortened and vehicle jerk can be controlled within an acceptable range using the proposed method.