東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Topology Considerations in Hybrid El...

Bayrak, Alparslan.

FindBook

Google Book

Amazon

博客來

Topology Considerations in Hybrid Electric Vehicle Powertrain Architecture Design.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Topology Considerations in Hybrid Electric Vehicle Powertrain Architecture Design./
作者:	Bayrak, Alparslan.
面頁冊數:	196 p.
附註:	Source: Dissertation Abstracts International, Volume: 76-09(E), Section: A.
Contained By:	Dissertation Abstracts International76-09A(E).
標題:	Design. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3701846
ISBN:	9781321727579

Topology Considerations in Hybrid Electric Vehicle Powertrain Architecture Design.
Bayrak, Alparslan.

Topology Considerations in Hybrid Electric Vehicle Powertrain Architecture Design. - 196 p.

Source: Dissertation Abstracts International, Volume: 76-09(E), Section: A.

Thesis (Ph.D.)--University of Michigan, 2015.

Optimal system architecture (topology or configuration) design has been a challenging design problem because of its combinatorial nature. Parametric optimization studies make design decisions assuming a given architecture but there has been no general methodology that addresses design decisions on the system architecture itself. The electrification of vehicles with the introduction of mechatronic devices such as motors and generators to vehicle powertrains has drawn renewed attention to the automotive powertrain architecture optimization problem. Hybrid Electric Vehicle (HEV) powertrains allow various architecture alternatives created by connecting the internal combustion engine, motor/generators and the output shaft in different ways through planetary gear systems. Addition of clutches to HEV powertrains allows changing the connection arrangement (configuration) among the powertrain components during the vehicle operation. Architectures with this capability are referred to as multi-mode architectures while architectures with fixed configurations are referred to as single-mode architectures. Design decisions made on both the powertrain's component sizes and its configuration have significant impact on the fuel economy and vehicle performance. System architecture optimization requires designing the configuration and sizing simultaneously. Additionally, evaluation of an HEV architecture design depends on a power management (control) strategy that distributes the power demand to the engine and motor/generators. Including this control problem increases the complexity of the HEV architecture design problem. Methodologies developed specifically for HEV powertrain architecture design work only when the problem size is significantly reduced by eliminating many architecture design candidates or target only a small portion of the design space of architecture alternatives. This dissertation focuses on a general methodology to make design decisions on HEV powertrain architecture and component sizes. The representation of the architecture design problem is critical to solving this problem. A new general representation framework capable of describing all architecture alternatives is introduced. Using the representation, all feasible configurations are generated to create a new design space of feasible configurations only. These configurations are used to create single- and multi-mode HEV architectures. The architecture design alternatives are evaluated based on fuel economy, vehicle performance and complexity. Three types of design problems are formulated: (i) single-mode architecture design for given component sizes (ii) multi-mode architecture design for given component sizes (iii) architecture design combining the configuration and sizing. Solution strategies for all three types of design problems are developed. The high complexity of the resulting optimization problem does not allow us to claim true optimality rigorously; therefore, the terms ''promising" or ''near-optimal" are more accurate in characterizing the results of the optimization studies. Case study results show that different architectures must be designed for different applications. The case studies designing architectures for some available vehicles from the market find the architectures already implemented in these vehicles under some design constraints. Alternative architectures that improve these designs under different design constraints are also demonstrated. Architectures for a new application that is not available in the market are also designed.

ISBN: 9781321727579Subjects--Topical Terms:

518875
Design.

Topology Considerations in Hybrid Electric Vehicle Powertrain Architecture Design.
LDR:04477nmm a2200289 4500 001 2069220
005 20160510115006.5
008 170521s2015 ||||||||||||||||| ||eng d
020 $a 9781321727579
035 $a (MiAaPQ)AAI3701846
035 $a AAI3701846
040 $a MiAaPQ $c MiAaPQ
100 1 $a Bayrak, Alparslan. $3 3184224
245 1 0 $a Topology Considerations in Hybrid Electric Vehicle Powertrain Architecture Design.
300 $a 196 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-09(E), Section: A.
500 $a Adviser: Panos Y. Papalambros.
502 $a Thesis (Ph.D.)--University of Michigan, 2015.
520 $a Optimal system architecture (topology or configuration) design has been a challenging design problem because of its combinatorial nature. Parametric optimization studies make design decisions assuming a given architecture but there has been no general methodology that addresses design decisions on the system architecture itself. The electrification of vehicles with the introduction of mechatronic devices such as motors and generators to vehicle powertrains has drawn renewed attention to the automotive powertrain architecture optimization problem. Hybrid Electric Vehicle (HEV) powertrains allow various architecture alternatives created by connecting the internal combustion engine, motor/generators and the output shaft in different ways through planetary gear systems. Addition of clutches to HEV powertrains allows changing the connection arrangement (configuration) among the powertrain components during the vehicle operation. Architectures with this capability are referred to as multi-mode architectures while architectures with fixed configurations are referred to as single-mode architectures. Design decisions made on both the powertrain's component sizes and its configuration have significant impact on the fuel economy and vehicle performance. System architecture optimization requires designing the configuration and sizing simultaneously. Additionally, evaluation of an HEV architecture design depends on a power management (control) strategy that distributes the power demand to the engine and motor/generators. Including this control problem increases the complexity of the HEV architecture design problem. Methodologies developed specifically for HEV powertrain architecture design work only when the problem size is significantly reduced by eliminating many architecture design candidates or target only a small portion of the design space of architecture alternatives. This dissertation focuses on a general methodology to make design decisions on HEV powertrain architecture and component sizes. The representation of the architecture design problem is critical to solving this problem. A new general representation framework capable of describing all architecture alternatives is introduced. Using the representation, all feasible configurations are generated to create a new design space of feasible configurations only. These configurations are used to create single- and multi-mode HEV architectures. The architecture design alternatives are evaluated based on fuel economy, vehicle performance and complexity. Three types of design problems are formulated: (i) single-mode architecture design for given component sizes (ii) multi-mode architecture design for given component sizes (iii) architecture design combining the configuration and sizing. Solution strategies for all three types of design problems are developed. The high complexity of the resulting optimization problem does not allow us to claim true optimality rigorously; therefore, the terms ''promising" or ''near-optimal" are more accurate in characterizing the results of the optimization studies. Case study results show that different architectures must be designed for different applications. The case studies designing architectures for some available vehicles from the market find the architectures already implemented in these vehicles under some design constraints. Alternative architectures that improve these designs under different design constraints are also demonstrated. Architectures for a new application that is not available in the market are also designed.
590 $a School code: 0127.
650 4 $a Design. $3 518875
650 4 $a Mechanical engineering. $3 649730
650 4 $a Automotive engineering. $3 2181195
690 $a 0389
690 $a 0548
690 $a 0540
710 2 $a University of Michigan. $b Mechanical Engineering. $3 2104815
773 0 $t Dissertation Abstracts International $g 76-09A(E).
790 $a 0127
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3701846