Intelligent Control of Clean Combustion Low-Carbon GDI Engine: Oxygen Sensor, Fuel Injection, and Engine Cold-start

清洁燃烧低碳GDI发动机智能控制：氧传感器、燃油喷射、发动机冷启动

基本信息

批准号：
570841-2021
负责人：
Zheng, MingM
金额：
$ 5.28万
依托单位：
University of Windsor
依托单位国家：
加拿大
项目类别：
Alliance Grants
财政年份：
2022
资助国家：
加拿大
起止时间：
2022-01-01 至 2023-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=760477
关键词：
Intelligent Control Clean Combustion Low

项目摘要

Development of engines with better fuel economy, reduction of tailpipe emissions to counter global warming and meet government regulations has become the primary focus of automotive industry. Both in-cylinder emission control and aftertreatment are important to decrease the total tailpipe emissions. Advanced in-cylinder strategies can decrease the dependence on aftertreatment system, which can reduce the cost and future enhance system durability. The proposed research project focuses on three important aspects affecting advanced gasoline direct injection (GDI) engine operation, including oxygen sensor performance, fuel injection and spray characterization, and robust engine cold-start strategy investigation. University of Windsor and FCA Canada have formed a collaborative research consortium with the following objectives:1) To investigate the background condition impact on the O2 sensor performance under steady flow and real engine exhaust conditions, including gas species, background temperature/pressure, flow speed, installation angles; enhancing O2 sensor performance via advanced driving strategies for fast response time and precise measurements. 2) To characterize the impact of fuel property on fuel spray penetration, spray cone angle, droplet size distribution, and rate of injection of GDI injectors provided by FCA Canada under various boundary condition, including injection duration, injection pressure and background temperature. 3) To study the combustion and emission characteristics during engine cold-start and develop advanced fuel injection and oxygen sensor control strategies to achieve robust engine cold start process with low tale pipe emissions.The expected outcomes of the proposed research are a) To support CFD verification of oxygen sensor model and GDI spray model by characterizing their performances under various background and operation conditions; b) To develop robust engine cold start strategies suitable for traditional and renewable fuels.

开发具有更好的燃油经济性的发动机，减少尾管排放以应对全球变暖并符合政府法规的发动机已成为汽车行业的主要重点。缸内发射控制和后处理对于减少总尾管排放都很重要。先进的缸内策略可以降低对治疗后系统的依赖，这可以降低成本和未来增强系统耐用性。拟议的研究项目侧重于影响高级汽油直接注入（GDI）发动机操作的三个重要方面，包括氧气传感器性能，燃油喷射和喷雾特征以及强大的发动机冷启动策略调查。温莎大学和FCA加拿大大学已与以下目标建立了一个协作研究联盟：1）研究背景条件在稳定流动和实际发动机排气条件下对O2传感器性能的影响，包括气体物种，背景温度/压力，流动速度，安装角度；通过高级驾驶策略来增强O2传感器性能，以快速响应时间和精确的测量。 2）表征燃料特性对燃油喷雾剂渗透，喷雾锥角，液滴尺寸分布以及加拿大FCA注射器注入速率的影响，在各种边界条件下，包括注入持续时间，注入压力和背景温度。 3）在发动机冷启动过程中研究燃烧和排放特性，并开发先进的燃油注入和氧气传感器控制策略，以实现稳健的发动机冷启动过程。 b）制定适合传统和可再生燃料的强大发动机冷启动策略。