Multi-fidelity validation algorithm for next generation hybrid-electric vehicle system design

Multi-fidelity validation algorithm for next generation hybrid-electric vehicle system design
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下一代混合动力电动汽车系统设计的多保真度验证算法

DOI:
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发表时间:
2019
期刊:
Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering
影响因子:
--
通讯作者:
R. Best
R. Best
中科院分区:
--
文献类型:
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作者:
G. Stevens;J. Early;G. Cunningham;M. Murtagh;R. Douglas;R. Best

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随着越来越复杂的混合动力电动汽车动力系统的发展,创建经过验证的系统模型的过程变得越来越难以实现。为了充分利用车辆的燃料消耗和减排潜力,转向更可持续的运输系统,需要提高对如何捕捉瞬时车辆能量状态的信心。虽然存在许多模型验证策略,但大多数依赖于确定与全局系统特性的比较,例如,固定驾驶事件的总油耗。然而,这些方法并不一定考虑到快速波动的能量状态,需要理解这些能量状态以优化车辆的能量管理策略。目前的工作提出了一种新的验证方法,捕捉这些瞬时特性,利用现代数据采集设备提供的高信号采样率,而不是依赖于驱动周期的平均值或累积的全球行为。所提出的方法提供了一个整体的车辆模型所表现出的行为,并确定区域的穷人系统验证的目标领域,进一步完善模型。该算法证明了一种新的后传输,并行轻度混合动力电动巴士。该模型在MATLAB Simulink建模环境中开发。验证算法进行了测试,对车辆测功机和测试跟踪数据。随着轻度混合动力和全混合动力车辆配置数量的不断增加,验证策略(如此处提出的策略)对于设计能量管理策略以提供车辆的全部潜在效益越来越重要。该算法提出了一个一步一步的方法,可以自动限制所需的用户输入。
With the evolution of increasingly complex hybrid-electric vehicle powertrains, the process of creating validated system models has become progressively more difficult to achieve. Increasing levels of confidence in how instantaneous vehicle energy states are captured is needed to take full advantage of the fuel consumption and emissions reduction potential of the vehicle to move towards more sustainable transportation systems. While many strategies for model validation exist, the majority rely on ascertaining comparisons with global system characteristics, for instance, total fuel consumption over a fixed driving event. However, these methods do not necessarily account for the rapidly fluctuating energy states which need to be understood to optimise the vehicle’s energy management strategy. The current work proposes a new validation approach which captures these instantaneous characteristics taking advantage of the high signal sampling rates available from modern data acquisition equipment rather than relying on drive cycle average or cumulative global behaviours. The method proposed provides a holistic view of the behaviours demonstrated by the vehicle model and identifies regions of poor system validation targeting areas for further model refinement. The algorithm is demonstrated on a new post-transmission, parallel mild-hybrid-electric bus. The model was developed in the MATLAB Simulink modelling environment. The validation algorithm is tested against vehicle dynamometer and test track data. With an increasing volume of mild and full hybrid vehicle configurations emerging, validation strategies such as the one proposed here are increasingly important for the design of energy management strategies to deliver the full potential benefits of the vehicle. The algorithm is proposed in a step by step method which can be automated to limit required user input.
DOI: 10.1177/2041299110394512
发表时间: 2011-05
期刊: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
影响因子: --
作者:
S. W. Hunt;A. Odhams;R. Roebuck;D. Cebon
通讯作者: S. W. Hunt;A. Odhams;R. Roebuck;D. Cebon