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

• 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

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.

开发燃油经济性更好的发动机，减少尾气排放，以应对全球变暖和满足政府法规，已成为汽车行业的首要关注重点。缸内排放控制和后处理对降低尾气排放具有重要意义。先进的缸内策略可以减少对后处理系统的依赖，从而降低成本，并进一步提高系统的耐用性。该研究项目集中在影响先进汽油直喷(GDI)发动机运行的三个重要方面，包括氧传感器性能、燃油喷射和喷雾特性以及稳健的发动机冷启动策略研究。温莎大学和加拿大FCA成立了一个合作研究联盟，目标如下：1)调查稳定流动和真实发动机排放条件下的背景条件对O2传感器性能的影响，包括气体种类、背景温度/压力、流速、安装角度；通过先进的驱动策略提高O2传感器的性能，以实现快速响应和精确测量。2)研究在不同边界条件下(包括喷油持续时间、喷油压力和背景温度)，燃料性质对喷油器喷雾贯穿距离、喷雾锥角、液滴尺寸分布和喷油率的影响。3)研究发动机冷启动时的燃烧和排放特性，开发先进的燃油喷射和氧传感器控制策略，以实现发动机冷启动过程的稳健性和低排气管排放。本研究的预期成果是：a)通过表征氧传感器模型和GDI喷雾模型在不同背景和运行条件下的性能，支持CFD验证氧传感器模型和GDI喷雾模型；b)开发适用于传统和可再生燃料的稳健发动机冷启动策略。