双电网车辆的自适应EMS

R. E. Vázquez, C. Mathis, A. Steinhuber
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引用次数: 0

摘要

为了提高双电网车辆的燃油经济性,提出了一种用于能量管理的自适应预测控制(APC)。这种方法可以应用于混合动力和电动汽车,并提供局部优化的解决方案。这在组件级应用于发电机控制,并以状态离散形式应用于能源管理系统。一个实际的解决方案一直是整个研究的目标。在这种情况下,“实用”一词指的是一种既可在线执行又易于重新配置的解决方案。提出的方法在EE-VERT项目中开发的车辆模拟器中实现。效益分析指的是基于青蒿素的现实生活驾驶周期,其中城市和城市外周期之间有明显的区别。总体而言,通过用APC取代比例积分(PI)控制器,发电机控制平均改善了60%。此外,发电机电流中的尖峰被完全消除。此外,在系统层面,APC实现了可量化的燃油经济性改善,最高可达8.5%(关于最先进的策略),高压电池的最大耗电量为1.5%,而基线方法为22%(利用最大可能的可再生能源)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive EMS for Dual Power Network vehicles
This paper presents an Adaptive Predictive Control (APC) for Energy Management in order to improve fuel economy in vehicles equipped with a Dual Power Network. This approach can be applied to hybridised and electrical vehicles and provides a locally optimized solution. This is applied at component-level for the Generator Control and in a state-discretized form for the Energy Management system. A practical solution has been the target pursued throughout this research. In this context the term “practical” refers a solution that is executable online as well as easily reconfigurable. The approach proposed is implemented in a vehicle simulator developed within the EE-VERT project. Benefit analysis is referred to ARTEMIS-based real-life driving cycles where a clear distinction between urban and extra-urban cycles is met. Overall an improvement of 60% in average for the Generator Control is attained by replacing the Proportional Integral (PI) controller by an APC. Moreover the spikes in the generator current are completely eradicated. Further, at system level APC achieves quantifiable improvement in fuel economy up to 8.5% (regarding State-of-the-Art strategy) with a maximum depletion of the HV battery of 1.5% against the 22% of Baseline approach (utilising the maximum possible regenerative energy).
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