Real-Time Optimization Based Power Flow Controller for Energy Consumption and Emissions Reduction in a Parallel HEV
| العنوان: | Real-Time Optimization Based Power Flow Controller for Energy Consumption and Emissions Reduction in a Parallel HEV |
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| المؤلفون: | Karmustaji, Abdulla Abdulaziz, Karmustaji, Abdulla Abdulaziz |
| Added Details: | Currier, Patrick, advisor Embry-Riddle Aeronautical University. Department of Mechanical Engineering. |
| Call Numbers: | TL221.15 .K37 2016eb |
| وصف مادي: | 1 online resource (86 leaves) : illustrations (chiefly color) |
| مستخلص: | As the regulations on the fuel economy and emissions standards become higher, Hybrid Electric Vehicles (HEV) are gaining more popularity in the market. HEVs improvements in fuel economy and emissions strongly depend on the energy management strategy. An optimization based power flow controller is presented in this thesis to find the appropriate power split between the Internal Combustion Engine (ICE) and the electric motor to reduce the energy consumption and emissions. However, emissions were not taken into consideration in results due to lack of reliable results. A basic power flow controller was built to compare to the optimization based controller. A plant model of each component of the vehicle was built in Simulink to evaluate the performance of each controller. Compared to the basic power flow controller, the real-time energy and emission minimization controller using shift schedule (ReTEEM-SS) reduced the energy consumption by approximately 6.2% in city driving style and 5.4% in highway driving style. The optimization based controller was further modified to replace the shift schedule with a shift logic. The real-time energy and emission minimization controller using shift logic (ReTEEM-SL) reduced the energy consumption by 10.2% in city drive style and 5.3% in highway driver style, when compared to the basic controller. |
| الموضوعات: | Hybrid electric vehicles Power trains Automatic control., Hybrid power systems Automatic control., Véhicules hybrides Groupes motopropulseurs Commande automatique., Énergie Systèmes hybrides Commande automatique. |
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| الاتاحة: | Open access content. Open access content |
| ملاحظة: | Also available in print. "Daytona Beach, Florida, May 2016." Includes bibliographical references (leaves 80-83). Abstract ; Table of contents ; List of tables ; List of figures -- 1. Introduction. 1.1. Background and motivation ; 1.2. Vehicle architecture ; 1.3. Statement of problem and thesis scope -- 2. Review of the relevant literature. 2.1. Rule-based control strategy (RBCS) ; 2.1.1. Deterministic RBCS ; 2.1.2. Fuzzy logic controller (FLC) ; 2.2. Optimization-based control strategy ; 2.3. Dynamic programming ; 2.4. Predictive CS -- 3. Methodology. 3.1. Vehicle system modeling ; 3.1.1. Driver ; 3.1.2. Powertrain. 3.1.2.1. Internal combustion engine (ICE) ; 3.1.2.2. Electric motor ; 3.1.2.3. Energy storage system (ESS) ; 3.1.2.4. Transmission ; 3.1.2.5. Wheels and differential ; 3.1.3. Glider ; 3.2. Power flow controller. 3.2.1. Basic power flow controller ; 3.2.2. Real-time energy and emission minimization controller (ReTEEM-SS). 3.2.2.1. Motor and ICE torque candidates ; 3.2.2.2. Electric energy candidates ; 3.2.2.3. Fuel energy candidates ; 3.2.2.4. Regulation factor ; 3.2.2.5. Total energy consumption ; 3.2.2.6. Emissions ; 3.2.2.7. Normalize all data ; 3.2.2.8. Cost function and controller output ; 3.2.3. Real-time energy and emission minimization controller (ReTEEM-SS) -- 4. Results. 4.1. Simulation set-up ; 4.1.1. Throttle input to the transmission ; 4.1.2. Charge sustain and response optimization ; 4.1.3. Trace errors ; 4.2. Varied torque apportion from different controllers ; 4.3. Energy consumption comparison. 4.3.1. Highway drive cycles. 4.3.1.1. Basic controller vs. ReTEEM-SS controller ; 4.3.1.2. ReTEEM-SS controller vs. ReTEEM-SL controller ; 4.3.2. City drive cycles. 4.3.2.1. Basic controller vs. ReTEEM-SS controller ; 4.3.2.2. ReTEEM-SS controller vs. ReTEEM-SL controller -- 5. Discussions, future work, and conclusions. 5.1. Discussions ; 5.2. Future work. 5.2.1. Implementation and validation ; 5.2.2. Predictive control strategy ; 5.2.3. Three-way split ; 5.2.4. Emissions ; 5.2.5. Shift schedule mapping ; 5.3. Conclusions ; References ; Appendix. |
| Other Numbers: | FER oai:commons.erau.edu:edt-1270 1014343449 |
| المصدر المساهم: | From OAIster®, provided by the OCLC Cooperative. |
| رقم الانضمام: | edsoai.on1014343449 |
| قاعدة البيانات: | OAIster |
| الوصف غير متاح. |