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相关概念视频

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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AES is a powerful analytical technique, especially effective when used with plasma sources, producing abundant spectra in characteristic emission lines. The Inductively Coupled Plasma (ICP), in particular, yields superior quantitative analytical data due to its high stability, low noise, low background, and minimal interferences under optimal experimental conditions. However, newer air-operated microwave sources are emerging as promising alternatives that could be more cost-effective than...
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A Rapid Method for Modeling a Variable Cycle Engine
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使用无监督机器学习技术进行特定车辆功率的排放建模.

Chandrashekar Chowdappa1, Pritha Chatterjee1, Digvijay S Pawar2

  • 1Department of Civil Engineering, Indian Institute of Technology Hyderabad, Kandi, Sangareddy, India.

Environmental science and pollution research international
|June 23, 2025
PubMed
概括
此摘要是机器生成的。

现实世界排放测试显示,与BS-IV车型相比,Bharat Stage VI (BS-VI) 汽油车显著减少了25-90%的氧化 (NOx) 排放. 二氧化碳 (CO2) 排放量显示最小的变化.

关键词:
气候变化 气候变化 气候变化驾驶条件 驾驶条件排放标准 排放标准 排放标准现实世界的排放量.没有监督的技术.

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科学领域:

  • 环境科学 环境科学
  • 汽车工程 汽车工程
  • 空气质量监测 空气质量监测

背景情况:

  • 准确的车辆排放评估对于空气质量管理和政策评估至关重要.
  • 现实世界的驾驶条件带来了复杂的挑战,这些挑战无法通过实验室测试来捕捉.
  • 在印度的Bharat Stage VI (BS-VI) 和早期的排放标准车辆之间的比较排放研究中存在差距.

研究的目的:

  • 在不同的印度驾驶条件下分析和比较BS-IV汽油,BS-IV柴油和BS-VI汽油车辆的排放.
  • 开发一个新的框架,整合车辆特定功率 (VSP) 和无监督学习,用于排放分析.
  • 与BS-IV相比,评估BS-VI标准在减少车辆排放方面的有效性.

主要方法:

  • 使用便携式排放测量系统 (PEMS) 进行现实数据收集.
  • 开发了一个新的框架,将VSP与k-means集群结合起来,用于排放配置文件的识别.
  • 在各种驾驶场景中比较BS-IV汽油,BS-IV柴油和BS-VI汽油车辆的排放特性.

主要成果:

  • 在所有车型中,CO2和NOx排放在动加速转向小加速的过程中达到峰值,并在动/爬行过程中最低.
  • 与BS-IV汽油车相比,BS-VI汽油车的NOx排放量显著减少 (25-90%).
  • 在BS-IV和BS-VI汽油车辆之间的二氧化碳排放差异很小 (约为5%).

结论:

  • 在印度实际驾驶条件下,BS-VI汽油汽车的NOx排放量显著减少.
  • 开发的VSP集成集群框架为排放分析提供了数据驱动的方法.
  • 调查结果为决策者提供了一个决策支持工具,以促进环保驾驶和完善排放法规.