学位论文详细信息
Analysis and Control of Multimode Combustion Switching Sequence.
Internal combustion engine;Supervisory control of a multimode combustion engine;Homogeneous charge compression ignition (HCCI);Drive cycle analysis for fuel economy and emissions;Mechanical Engineering;Engineering;Mechanical Engineering
Nuesch, Sandro PatrickMartz, Jason Brian ;
University of Michigan
关键词: Internal combustion engine;    Supervisory control of a multimode combustion engine;    Homogeneous charge compression ignition (HCCI);    Drive cycle analysis for fuel economy and emissions;    Mechanical Engineering;    Engineering;    Mechanical Engineering;   
Others  :  https://deepblue.lib.umich.edu/bitstream/handle/2027.42/116660/snuesch_1.pdf?sequence=1&isAllowed=y
瑞士|英语
来源: The Illinois Digital Environment for Access to Learning and Scholarship
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【 摘 要 】

Highly dilute, low temperature combustion technologies, such as homogeneous charge compression ignition (HCCI), show significant improvements in internal combustion engine fuel efficiency and engine-out NOx emissions. These improvements, however, occur at limited operating range and conventional spark ignition (SI) combustion is still required to fulfill the driver;;s high torque demands. In consequence, such multimode engines involve discrete switches between the two distinct combustion modes. Such switches unfortunately require a finite amount of time, during which they exhibit penalties in efficiency. Along with its challenges, the design of such a novel system offers new degrees of freedom in terms of engine and aftertreatment specifications. Prior assessments of this technology were based on optimistic assumptions and neglected switching dynamics. Furthermore, emissions and driveability were not fully addressed. To this end, a comprehensive simulation framework, which accounts for above-mentioned penalties and incorporates interactions between multimode engine, driveline, and three-way catalyst (TWC), has been developed. Experimental data was used to parameterize a novel mode switch model, formulated as finite-state machine. This model was combined with supervisory controller designs, which made the switching decision. The associated drive cycle results were analyzed and it was seen that mode switches have significant influence on overall fuel economy, and the issue of drivability needs to be addressed within the supervisory strategy. After expanding the analysis to address emissions assuming a TWC, it was shown that, in practice, HCCI operation requires the depletion of the TWC;;s oxygen storage capacity (OSC). For large OSCs the resulting lean-rich cycling nullifies HCCI;;s original efficiency benefits. In addition, future emissions standards are still unlikely to be fulfilled, deeming a system consisting of such a multimode engine and TWC with generous OSC unfavorable. In view of these difficulties, the modeling framework was extended to a mild hybrid electric vehicle (HEV) allowing a prolonged operation in HCCI mode with associated fuel economy benefits during city driving. Further analysis on how to reduce NOx while maintaining fuel economy resulted in a counterintuitive suggestion. It was deemed beneficial to constrain the HCCI operation to a small region, exhibiting lowest NOx, while reducing instead of increasing the OSC.

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