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Control and Design Optimization for Hybrid Electric Vehicle with Flywheel as a Third Energy Storage System.

纪录类型:	书目-电子资源 : Monograph/item
[NT 47271] Title/Author:	Control and Design Optimization for Hybrid Electric Vehicle with Flywheel as a Third Energy Storage System.
作者:	Yan, Jifei.
出版者:	Ann Arbor : : ProQuest Dissertations & Theses, , 2016
面页册数:	205 p.
附注:	Source: Dissertation Abstracts International, Volume: 78-04(E), Section: B.
Contained By:	Dissertation Abstracts International78-04B(E).
标题:	Engineering.
标题:	Mechanical engineering.
ISBN:	9781369343403
[NT 15000229] null:	Hybrid Electric Vehicles (HEV) equipped with Internal Combustion Engine (ICE) and Electric Machine (EM) have been proven to be very effective at increasing fuel economy and reducing pollution and greenhouse gases. A third energy source is introduced into a Dual Energy Source HEV powertrain. This third energy source is designed to serve as a Short-term Energy Storage System (SESS). The motivation of this research is to study the design and control of Tri-Energy Source Hybrid (TESH) Powertrain for fuel consumption reduction purposes.

Control and Design Optimization for Hybrid Electric Vehicle with Flywheel as a Third Energy Storage System.
Yan, Jifei.

Control and Design Optimization for Hybrid Electric Vehicle with Flywheel as a Third Energy Storage System. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 205 p.

Source: Dissertation Abstracts International, Volume: 78-04(E), Section: B.

Thesis (Ph.D.)--University of California, Davis, 2016.

Hybrid Electric Vehicles (HEV) equipped with Internal Combustion Engine (ICE) and Electric Machine (EM) have been proven to be very effective at increasing fuel economy and reducing pollution and greenhouse gases. A third energy source is introduced into a Dual Energy Source HEV powertrain. This third energy source is designed to serve as a Short-term Energy Storage System (SESS). The motivation of this research is to study the design and control of Tri-Energy Source Hybrid (TESH) Powertrain for fuel consumption reduction purposes.

ISBN: 9781369343403Subjects--Topical Terms:

372756
Engineering.

Control and Design Optimization for Hybrid Electric Vehicle with Flywheel as a Third Energy Storage System.
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245 1 0 $a Control and Design Optimization for Hybrid Electric Vehicle with Flywheel as a Third Energy Storage System.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2016
300 $a 205 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-04(E), Section: B.
500 $a Adviser: Andrew A. Frank.
502 $a Thesis (Ph.D.)--University of California, Davis, 2016.
520 $a Hybrid Electric Vehicles (HEV) equipped with Internal Combustion Engine (ICE) and Electric Machine (EM) have been proven to be very effective at increasing fuel economy and reducing pollution and greenhouse gases. A third energy source is introduced into a Dual Energy Source HEV powertrain. This third energy source is designed to serve as a Short-term Energy Storage System (SESS). The motivation of this research is to study the design and control of Tri-Energy Source Hybrid (TESH) Powertrain for fuel consumption reduction purposes.
520 $a Backward facing models of the TESH vehicle are created in a Matlab/Simulink environment for simulation. Three different control strategies are developed and implemented in the simulations. The Dynamic Programming (DP) control strategy is implemented for the chosen vehicle in simulation to find the global optimal of the fuel consumption for certain drive cycles. Since the DP controls strategy requires the information of the drive cycle before simulations, it cannot be implemented in real-time. A rule-based control strategy is developed and implemented in the simulation to find the real-time outcome of fuel consumption for the same vehicle and drive cycles in the baseline cases generated by DP. Although the rule-based control strategy is straight forward and can be intuitively understood, it does not guarantee optimal fuel consumption. Hence, a third control strategy, i.e. Equivalent Consumption Minimization strategy (ECM), is derived from the Pontryagin's Minimum Principle and implemented in simulations. With proper tuning of the control parameters, the ECM can generate results very close to the global optimal results found in the DP Simulation in real-time.
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650 4 $a Mechanical engineering. $3 183240
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710 2 0 $a University of California, Davis. $b Mechanical and Aeronautical Engineering. $3 686897
773 0 $t Dissertation Abstracts International $g 78-04B(E).
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