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首页> 外文会议>National conference on noise control engineering >Electric Vehicle Detectability: a Methods-Based Approach to Assess Artificial Noise Impact on the Ability of Pedestrians to Safely Detect Approaching Electric Vehicles
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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：电动汽车的可检测性：一种基于方法的方法来评估人为噪声对行人安全检测正在行驶的电动汽车的能力的影响

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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：混合动力和电动汽车（HV和EV）相对于内燃机（ICE）具有较低的噪音水平，尤其是在低速行驶时。随着道路上的HV / EV数量的增加，对量化行人（尤其是视力障碍者）的听觉可检测性的数据的需求也在增加。制造商已开始实施加性噪声解决方案，旨在提高在电动模式下和/或在低于特定速度行驶时的车辆可检测性。本文提供了实时声学测量系统，相应的车辆数据，沉浸式噪声场的发展以及与候选车辆的最新评估有关的实验方法的详细描述。由24名合法盲人测试对象完成了针对四种车辆类型的听众测试：具有不同加性噪声方法的EV和HV，无加性噪声的EV和传统的ICE车辆。初步结果检查了受试者检测到每辆迎面驶来的车辆的距离以及在检测到车辆进近场景时相应的声学测量结果，包括两个稳态速度水平：10 kph和20kph。参与者坐在封闭测试的轨道上，并要求在55dBA和60dBA处存在连续的，空间分布的，频谱形状的噪声的情况下，识别每个迎面驶来的车辆的“听觉检测”。噪声的频谱与典型的平均城市背景噪声的频谱相匹配。 。使用位于每个参与者头部正上方的测量级麦克风收集声学数据。研究结果表明，尽管具有附加噪声成分的车辆的平均检测距离趋向于更高，但在10kph的速度下，它们与传统EV并没有显着差异。此外，当以10kph的速度行驶时，相对于ICE车辆，所有EV / HV的距离都明显短得多。在20kph时，这些差异几乎无法区分。

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