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Electric Circuit- and Wiring Harness-Aware Behavioral Simulation of Model-Based E/E-Architectures at System Level

机译:系统级基于模型的E / E体系结构的电路和线束感知行为仿真

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To cope with the rising complexity of automotive electric/electronic architectures (EEA), model-based development at system level is well-established and typically realized in architecture description languages (ADLs) and high-level tools. In this paper, we extend a previously developed approach for automated cross-domain simulation synthesis of model-based EEA descriptions enabling system-level evaluation by a behavioral specification layer. The key contributions of this work are modeling extensions applied to a state-of-the-art EEA ADL to refine specified behavior during synthesis with electric circuits including wiring harness details modeled at the hardware layer. Preliminary experiments show that the novel combination of quantization- and SPICE-based synthesized circuit simulation, conducted in a discrete-event manner and applied to a buck converter, a typical device in an automotive EEA, increases simulation efficiency up to a factor of 2.0 compared to other state-of-the-art tools while preserving accuracy. Finally, another example EEA hardware network, modeling the dynamic current consumption of an Electric Power Steering actuator, applied to a realistic vehicle topology model demonstrates the impact of wiring harness refinements.
机译:为了应对汽车电气/电子架构(EEA)日益增长的复杂性,在系统级别建立了基于模型的开发,并且通常以架构描述语言(ADL)和高级工具来实现。在本文中,我们扩展了以前开发的方法,用于基于模型的EEA描述的自动跨域仿真综合,从而可以通过行为规范层进行系统级评估。这项工作的主要贡献是对应用于最新EEA ADL的建模扩展进行了建模,以在合成过程中使用电路进行细化特定行为,这些电路包括在硬件层建模的线束细节。初步实验表明,基于量化和基于SPICE的合成电路仿真的新颖组合,以离散事件的方式进行,并应用于汽车EEA中的典型设备buck转换器,与之相比,仿真效率提高了2.0倍。与其他最新工具同时保留准确性。最后,另一个示例EEA硬件网络(对电动助力转向执行器的动态电流消耗进行建模)应用于实际的车辆拓扑模型,证明了线束优化的影响。

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