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- Low Temperature Combustion engine;hybrid electric vehicles;homogeneous charge compression ignition;reactivity controlled compression ignition;energy management control;powertrain electrification; (1)
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Articles 1 - 3 of 3
Full-Text Articles in Automotive Engineering
Model-Based Control Of Hybrid Electric Powertrains Integrated With Low Temperature Combustion Engines, Ali Soloukmofrad
Model-Based Control Of Hybrid Electric Powertrains Integrated With Low Temperature Combustion Engines, Ali Soloukmofrad
Dissertations, Master's Theses and Master's Reports
Powertrain electrification including hybridizing advanced combustion engines is a viable cost-effective solution to improve fuel economy of vehicles. This will provide opportunity for narrow-range high-efficiency combustion regimes to be able to operate and consequently improve vehicle’s fuel conversion efficiency, compared to conventional hybrid electric vehicles (HEV)s. Low temperature combustion (LTC) engines offer the highest peak brake thermal efficiency reported in literature, but these engines have narrow operating range. In addition, LTC engines have ultra-low soot and nitrogen oxides (NOx) emissions, compared to conventional compression ignition and spark ignition (SI) engines. This dissertation concentrates on integrating the LTC engines (i) in …
Easily Verifiable Controller Design With Application To Automotive Powertrains, Mohammad Reza Amini
Easily Verifiable Controller Design With Application To Automotive Powertrains, Mohammad Reza Amini
Dissertations, Master's Theses and Master's Reports
Bridging the gap between designed and implemented model-based controllers is a major challenge in the design cycle of industrial controllers. This gap is mainly created due to (i) digital implementation of controller software that introduces sampling and quantization imprecisions via analog-to-digital conversion (ADC), and (ii) uncertainties in the modeled plant’s dynamics, which directly propagate through the controller structure. The failure to identify and handle these implementation and model uncertainties results in undesirable controller performance and costly iterative loops for completing the controller verification and validation (V&V) process.
This PhD dissertation develops a novel theoretical framework to design controllers that are …
An Optimal Energy Management Strategy For Hybrid Electric Vehicles, Amir Rezaei
An Optimal Energy Management Strategy For Hybrid Electric Vehicles, Amir Rezaei
Dissertations, Master's Theses and Master's Reports
Hybrid Electric Vehicles (HEVs) are used to overcome the short-range and long charging time problems of purely electric vehicles. HEVs have at least two power sources. Therefore, the Energy Management (EM) strategy for dividing the driver requested power between the available power sources plays an important role in achieving good HEV performance.
This work, proposes a novel real-time EM strategy for HEVs which is named ECMS-CESO. ECMS-CESO is based on the Equivalent Consumption Minimization Strategy (ECMS) and is designed to Catch Energy Saving Opportunities (CESO) while operating the vehicle. ECMS-CESO is an instantaneous optimal controller, i. e., it does not …