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Electric Vehicle Detectability: a Methods-Based Approach to Assess Artificial Noise Impact on the Ability of Pedestrians to Safely Detect Approaching Electric Vehicles

机译:电动车辆可检测性:一种基于方法的方法,用于评估人工噪声对行人能力的影响,安全检测接近电动车辆

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Hybrid and electric vehicles (HVs and EVs) have demonstrated low noise levels relative to their Internal Combustion Engine (ICE) counterparts, particularly at low speeds. As the number of HVs/EVs on the road increases, so does the need for data quantifying auditory detectability by pedestrians; in particular, those who are vision impaired. Manufacturers have started implementing additive noise solutions designed to increase vehicle detectability while in electric mode and/or when traveling below a certain speed. A detailed description of the real-time acoustic measurement system, the corresponding vehicular data, development of an immersive noise field, and experimental methods pertaining to a recent evaluation of candidate vehicles is provided herein. Listener testing was completed by 24 legally blind test subjects for four vehicle types: an EV and HV with different additive noise approaches, an EV with no additive noise, and a traditional ICE vehicle. The primary results examined the distances at which subjects detected each oncoming vehicle and the corresponding acoustical measurements upon detection. Vehicle approach scenarios included two levels of steady-state speed: 10 kph and 20kph. Participants were seated on a closed-test track, and asked to identify auditory detection of each oncoming vehicle within the presence of continuous, spatially distributed, spectrally shaped noise at 55dBA and 60dBA. The spectrum of the noise matched that of typical average urban background noise. The acoustic data was collected using measurement grade microphones positioned directly above each participant’s head. Findings suggest that although mean detection distances trend higher for vehicles with an additive noise component, they aren’t significantly different from the traditional EV at speeds of 10kph. Moreover, all EV/HVs were detected at significantly shorter distances relative to the ICE vehicle when traveling at 10kph. At 20kph these differences become nearly indistinguishable.
机译:混合动力车和电动车辆(HVS和EVS)已经证明了相对于其内燃机(ICE)对应物的低噪声水平,特别是在低速下。随着道路上的高速HVS / EV的数量增加,需要对行人量化听觉检测性的数据所以需要;特别是那些视力受损的人。制造商已经开始实现旨在增加车辆可检测性的添加剂噪声解决方案,而在电模式下和/或在特定速度下行驶时。本文提供了实时声学测量系统,相应的车辆数据,沉浸式噪声场的开发以及与最近评估候选车辆的实验方法的详细描述。听众测试由24种载体类型的合法盲检测科目完成:EV和HV具有不同的添加剂噪声方法,EV,没有添加剂噪声,以及传统的冰车。主要结果检测了检测到的受试者的距离和在检测时检测到的相应声学测量。车辆方法方案包括两级稳态速度:10 kph和20kph。参与者坐在闭合测试轨道上,并要求在55dBA和60dBA的连续,空间分布的光谱状噪声的存在下识别每个迎面而来的车辆的听觉检测。噪声的频谱匹配典型的平均城市背景噪声。使用直接位于每个参与者头部的测量级麦克风收集声学数据。调查结果表明,虽然平均检测距离对于具有添加剂噪声成分的车辆的趋势较高,但它们与10kph的速度没有显着不同于传统的EV。此外,在10kph的行驶时,在相对于冰车的距离明显较短的距离处检测到所有EV / HV。在20kph,这些差异几乎无法区分。

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