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Optimization of AMT Gear Shift Strategy for Pure Electric Bus Based on a Fixed City-Bus Route

机译:基于固定城市公交线路的纯电动总线AMT换档策略优化

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Currently, the electric vehicles equipped with an automated mechanical transmission (AMT) are usually employed with the conventional two-parameter gear shift schedule to improve the dynamic and economic performance, especially for the pure electric bus (PEB). However, the conventional gear shift strategy cannot take full advantage of the electrical drivetrain of the PEB. Although the Dynamic Programming (DP) can acquire an optimal gear shift strategy during the whole driving profile, it requires abundant previous knowledge of the whole driving cycle. In this paper, an optimized method of gear shift schedule for the PEB based on a fixed city-bus route is proposed, for which the DP algorithm is employed for three different periods of historical driving conditions to obtain the optimal shift points. And then fitting by the orthogonal least squares polynomial, an optimized gear shift strategy of the PEB based on the city-bus route can be obtained and extracted for an actual application. After a verification of the optimized gear shift schedule by a stochastic driving cycle, the proposed gear shift schedule can be excellently improved than the conventional strategy, but no prominent than DP, compared with the gear shift schedule of the conventional and DP algorithm. However, it can be more easily acquired.
机译:目前,配备有自动机械变速器(AMT)的电动车辆通常采用传统的双参数换档时间表,以提高动态和经济性能,特别是对于纯电动总线(PEB)。然而,传统的换档策略不能充分利用PEB的电气传动系统。尽管动态编程(DP)可以在整个驾驶轮廓期间获取最佳换档策略,但是它需要丰富的全驾驶循环知识。在本文中,提出了一种基于固定城市总线路线的PEB的换档时间表的优化方法,其中DP算法用于三个不同的历史驾驶条件时段以获得最佳换档点。然后由正交最小二乘多项式拟合,基于城市总线路线的PEB的优化换档策略可以获得并提取实际应用。在随机驾驶循环验证优化的换档时间表之后,与传统和DP算法的换档时间表相比,所提出的换档时间可以优于传统策略,但与DP相比没有突出。但是,可以更容易获得。

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