Zhang Qijun, Fang Tiange, Men Zhengyu, Wei Ning, Peng Jianfei, Du Tianqiang, Zhang Xinfeng, Ma Yao, Wu Lin, Mao Hongjun
Tianjin Key Laboratory of Urban Transport Emission Research, State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering，Nankai University, Tianjin 300071, China.
China Automotive Technology and Research Center Co. Ltd, Tianjin 300300, China.
Sci Total Environ. 2024 Jan 1;906:167764. doi: 10.1016/j.scitotenv.2023.167764. Epub 2023 Oct 11.
With implementing vehicle emission control policies, tailpipe particulate emissions have been gradually controlled, and the relative contribution of non-tailpipe particulate emissions, such as brake and tire wear, has further increased. A unified and scientific method for sampling non-tailpipe particulate matter (PM) emissions is essential to improve the accuracy of the emission characteristics and factors. This study proposes a novel sampling method based on real-world driving conditions to obtain information on emissions and extract characteristic conditions for tire and brake pad wear. We extracted 200 representative braking segments for simulation experiments based on road type, initial and final velocities, temperature, and deceleration rate. Two standard test cycles to simulate the tire wear conditions of the front and rear wheels were constructed based on velocity, lateral, and vertical forces. Under the real-world driving condition test cycle, the emission factors of PM and PM for brake wear particles of passenger vehicles were 2.66 mg/km and 11.65 mg/km, respectively. In contrast, the emission factors of PM and PM for tire wear particles were 0.21 mg/km and 1.27 mg/km, respectively. Moreover, this study provides insights and basic data for localizing and improving the emission model, which can enhance its applicability and accuracy.
随着车辆排放控制政策的实施，尾气颗粒物排放已得到逐步控制，而非尾气颗粒物排放（如制动和轮胎磨损）的相对贡献进一步增加。一种统一且科学的非尾气颗粒物（PM）排放采样方法对于提高排放特征和影响因素的准确性至关重要。本研究提出了一种基于实际驾驶条件的新型采样方法，以获取排放信息并提取轮胎和刹车片磨损的特征条件。我们基于道路类型、初始和最终速度、温度以及减速率，提取了200个具有代表性的制动段用于模拟实验。基于速度、横向和垂直力构建了两个标准测试循环，以模拟前后轮的轮胎磨损情况。在实际驾驶条件测试循环下，乘用车制动磨损颗粒的PM和PM排放因子分别为2.66毫克/千米和11.65毫克/千米。相比之下，轮胎磨损颗粒的PM和PM排放因子分别为0.21毫克/千米和1.27毫克/千米。此外，本研究为排放模型的定位和改进提供了见解和基础数据，可提高其适用性和准确性。
