EGR Control for Emisson Reduction Using Fast Response Sensors - Phase 1A

Gravel, Roland ; Conley, Jason ; Kittelson, David

关键词: ACCURACY;    CONTROL SYSTEMS;    DIESEL ENGINES;    ENGINES;    EVALUATION;    LOADING RATE;    PARTICULATES;    SIMULATION;    SPECIFICATIONS;    TESTING;    TRANSIENTS;    VALIDATION;   

DOI  :  10.2172/963419
RP-ID  :  None
PID  :  OSTI ID: 963419
Others  :  TRN: US200918%%93

学科分类：航空航天科学

美国|英语

来源: SciTech Connect

【 摘 要 】

The overall objective of this project was to develop exhaust gas recirculation (EGR) control strategies using fast-response Particulate Matter (PM) sensors and NOx sensors to improve the quality of particulate and gaseous emissions from diesel engines. This project initially comprised three phases: (1) Phase IA - sensor requirements to meet PM sensor specifications, NOx sensor assessment, and initial model development for EGR control; (2) Phase IB - continue development on PM and NOx sensors, integrate the sensor signals into the control simulations, and finalize model development for control strategies; and (3) Phase II - validation testing of the control strategies. Only Phase 1A was funded by DOE and executed by Honeywell. The major objectives of Phase 1A of the project included: (1) Sensor validation and operation of fast-response PM and NOx sensors; (2) Control system modeling of low-pressure EGR controls, development of control strategies, and initial evaluation of these models and strategies for EGR control in diesel engines; (3) Sensor testing to understand applicability of fast-response PM sensors in determining loading rates of the particle trap; and (4) Model validation and sensor testing under steady-state and transient operational conditions of actual engines. In particular, specific objectives included demonstration of: (1) A PM sensor response time constant (T10 - T90) of better than 100 milliseconds (msec); (2) The ability to detect PM at concentrations from 0.2 to 2 Bosch smoke number (BSN) or equivalent; (3) PM sensor accuracy to within 20% BSN over the entire range of operation; and (4) PM sensor repeatability to within 10% over the PM entire sensor range equivalent to a BSN of 0.2 to 2.