National Laboratory of Auto Performance and Emission Test, Beijing Institute of Technology, Beijing, 100081, China; Beijing Vehicle Emissions Management Center, Beijing, 100176, China.
National Laboratory of Auto Performance and Emission Test, Beijing Institute of Technology, Beijing, 100081, China.
Chemosphere. 2022 Aug;301:134717. doi: 10.1016/j.chemosphere.2022.134717. Epub 2022 Apr 26.
Gasoline particulate filter (GPF) is a cost-effective solution to particle number emissions from gasoline direct injection vehicles. Filtration efficiency, as a key parameter of GPF, was usually assessed at chassis level over regulatory drive cycles. However, the promulgation of real driving emission (RDE) requirements in the EU and Chinese regulations necessitates evaluations based on non-legislative cycles to guarantee the on-road emissions are compliant to regulatory requirements. In this research, two aggressive drive cycles, RTS95 at 23degC and modified RDE at 0degC, were complemented to the WLTC to evaluate the filtration efficiency of a catalyzed GPF (cGPF) in fresh conditions to obtain the so-called "worst-case" filtration efficiency. In the WLTC, RTS95, and simulated RDE tests, the filtration efficiency of the test cGPF was 51.1%, 41.3%, and 85.1% respectively. In the simulated RDE test, the test cGPF filtrated solid particles with a diameter above 23 nm and 10 nm at a similar efficiency. Increased filtration efficiency with heavier soot load could offset the relatively low filtration efficiency in cold-start and warm-up durations, hence the filtration efficiency for a clean cGPF showed higher sensitivity to cycle length over driving dynamics and testing temperature. In acceleration events with cGPF mounted, the particle diameter where number concentration peaked decreased as the engine warmed up. In deceleration events, bimodal and trimodal particle number size distributions with much lower concentrations were observed.
汽油颗粒过滤器(GPF)是一种经济有效的解决方案,可用于减少汽油直喷车辆的颗粒数量排放。过滤效率是 GPF 的一个关键参数,通常在底盘级别上,根据监管驾驶循环进行评估。然而,欧盟和中国法规的发布要求进行实际行驶排放(RDE)评估,这需要基于非立法循环进行评估,以确保道路上的排放符合法规要求。在这项研究中,两个激进的驾驶循环,即 23°C 的 RTS95 和修改后的 0°C 的 RDE,被补充到 WLTC 中,以评估新鲜条件下催化 GPF(cGPF)的过滤效率,以获得所谓的“最坏情况”过滤效率。在 WLTC、RTS95 和模拟 RDE 测试中,测试用 cGPF 的过滤效率分别为 51.1%、41.3%和 85.1%。在模拟 RDE 测试中,测试用 cGPF 以相似的效率过滤直径大于 23nm 和 10nm 的固体颗粒。随着烟尘负荷的增加,过滤效率的提高可以抵消冷启动和暖机期间相对较低的过滤效率,因此,对于清洁的 cGPF,过滤效率对循环长度的敏感性高于驾驶动态和测试温度。在装有 cGPF 的加速事件中,随着发动机升温,颗粒数浓度峰值的粒径减小。在减速事件中,观察到双模态和三模态颗粒数尺寸分布,浓度要低得多。