Shift scheduling strategy development for parallel hybrid construction vehicles

并联式混合动力工程车辆换挡决策策略开发（英文）

The shift scheduling system of the transmission has an important effect on the dynamic and economic performance of hybrid vehicles. In this work, shift scheduling strategies are developed for parallel hybrid construction vehicles. The effect of power distribution and direction on shift characteristics of the parallel hybrid vehicle with operating loads is evaluated, which must be considered for optimal shift control. A power distribution factor is defined to accurately describe the power distribution and direction in various parallel hybrid systems. This paper proposes a Levenberg-Marquardt algorithm optimized neural network shift scheduling strategy. The methodology contains two objective functions, it is a dynamic combination of a dynamic shift schedule for optimal vehicle acceleration, and an energy-efficient shift schedule for optimal powertrain efficiency. The study is performed on a test bench under typical operating conditions of a wheel loader. The experimental results show that the proposed strategies offer effective and competitive shift performance.

变速箱换挡决策系统对混合动力车辆的动力性能和经济性能有着重要影响。本文研究了并联式混合动力工程车辆的换挡决策策略。分析了动力分布及流向对并联式混合动力工程车辆换挡特性的影响,在换挡优化控制中必须考虑这种影响。定义了一种新的动力分流系数来准确描述各种并联式混合动力系统中的动力分布及流向。提出了一种基于Levenberg-Marquardt算法优化神经网络的换挡决策策略。该方法包含两种目标函数,是车辆加速度最优的动力性换挡策略和动力系统效率最优的节能性换挡策略的动态结合。采用轮式装载机的典型作业载荷进行了台架实验,结果表明:该换挡策略实现了有效的、具有优势的换挡性能。