Optimization loops as method for analysis of boost recuperation systems

Markus Dirnberger, R. Retana, S. Hartmann, H. Herzog
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引用次数: 1

Abstract

The reduction of CO2 emissions and fuel consumption is a continuous challenge towards the optimization of hybrid and electric vehicles. The approach in this paper is to use the claw pole alternator as boost-recuperation-machine (BRM), to realize a mild hybrid electrical vehicle. The investigated parameters are the control strategy and the pulley ratio of the BRM. These parameters are easily adjustable and influence the fuel consumption in the range of several ml/100km. For such minimal fuel savings an appropriate method is needed, which differs fundamentally to full hybrid optimization methods. To assess such small values the State-of-Charge (SOC) in the battery must be kept neutral during a driving cycle. Besides the SOC-neutral driving and a fast convergence behavior is essential. Consequently, several methods for optimization are considered, compared and improved. To improve the optimization progress optimization loops are used to analyze and optimize the system. Finally, the developed method is applied on a boost-recuperation-system (BRS) to minimize the fuel consumption.
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优化循环作为升压回收系统分析的方法
减少二氧化碳排放和燃料消耗是对混合动力和电动汽车优化的持续挑战。本文采用爪极交流发电机作为升压恢复机(BRM),实现轻度混合动力汽车。研究了BRM的控制策略和皮带轮比。这些参数很容易调节,并在几毫升/100公里的范围内影响燃油消耗。为了实现这种最小的燃料节约,需要一种合适的方法,这与全混合优化方法有本质的不同。为了评估如此小的值,电池中的充电状态(SOC)必须在驾驶循环中保持中性。此外,soc中立驱动和快速收敛行为是必不可少的。因此,对几种优化方法进行了考虑、比较和改进。为了提高优化进度,采用了优化循环对系统进行分析和优化。最后,将所开发的方法应用于增压回输系统(BRS),以实现燃油消耗最小化。
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