| 1. |
- Kim, H.M., et al.
(författare)
-
Target cascading in vehicle redesign : A class VI truck study
- 2002
-
Ingår i: International Journal of Vehicle Design. - 0143-3369 .- 1741-5314. ; 29:3, s. 199-225
-
Tidskriftsartikel (refereegranskat)abstract
- The analytical target cascading process is applied to the redesign of a U.S. class VI truck. Necessary simulation and analysis models for predicting vehicle dynamics, powertrain, and suspension behaviour are developed. Vehicle design targets that include improved fuel economy, ride quality, driveability, and performance metrics are translated into system design specifications, and a consistent final design is obtained. Trade-offs between conflicting targets are identified. The study illustrates how the analytical target cascading process can reduce vehicle design cycle time while ensuring physical prototype matching, and how costly design iterations late in the development process can be avoided
|
|
| 2. |
- Kokkolaras, Michael, et al.
(författare)
-
Extension of the target cascading formulation to the design of product families
- 2002
-
Ingår i: Structural and multidisciplinary optimization (Print). - : Springer Science and Business Media LLC. - 1615-147X .- 1615-1488. ; 24:4, s. 293-301
-
Tidskriftsartikel (refereegranskat)abstract
- The target cascading methodology for optimal product development is extended to product families with predefined platforms. The single-product formulation is modified to accommodate the presence of shared systems, subsystems, and/or components and locally introduced targets. Hierarchical optimization problems associated with each product variant are combined to formulate the product family multicriteria design problem, and common subproblems are identified based on the shared elements (i.e. the platform). The solution of the overall design problem is coordinated so that the shared elements are consistent with the performance and behaviour of the product variants. A simple automotive design example is used to demonstrate the proposed methodology.
|
|
| 3. |
- Kokkolaras, Michael, et al.
(författare)
-
Simulation-based optimal design of heavy trucks by model-based decomposition : An extensive analytical target cascading case study
- 2004
-
Ingår i: International Journal of Vehicle Design. Heavy Vehicle Design. - 1744-232X .- 1741-5152. ; 11:3-4, s. 403-433
-
Tidskriftsartikel (refereegranskat)abstract
- We present the findings of an extensive case study for the decomposed, simulation-based, optimal design of an advanced technology heavy truck by means of analytical target cascading. The use of a series hybridelectric propulsion system, in-hub motors, and variable height suspensions is considered with the intention of improving both commercial and military design attributes according to a dual-use philosophy. Emphasis is given to fuel economy, ride, and mobility characteristics. The latter are predicted by appropriately developed analytical and simulation models. This article builds on previous work and focuses on recent efforts to refine the applied methodologies and draw final conclusions.
|
|
| 4. |
- louca, L.S., et al.
(författare)
-
Analytical Target Cascading for the Design of an Advanced Technology Heavy Truck
- 2002
-
Ingår i: Proceedings of the ASME Design Engineering Division - 2002. - New York : American Society of Mechanical Engineers. - 0791836282 ; , s. 3-10
-
Konferensbidrag (refereegranskat)abstract
- Analytical target cascading (ATC) is a methodology that can be used during the early development stages of large and complex systems for propagating desirable overall product targets to appropriate individual specifications for the various subsystems and components. The ATC process is applied to the design of an advanced technology heavy truck. A series hybrid-electric propulsion system, in-hub motors, and variable height suspensions are introduced with the intent to improve both commercial and military design attributes according to a dual-use design philosophy. Emphasis is given to fuel economy, ride, and mobility characteristics. These vehicle responses are predicted by appropriately developed analytical and simulation models. This article is an extension to previous work: the engine is now included at the bottom level, several battery types are considered to study their effect on fuel economy, and a more demanding driving schedule is used to assess regenerative braking benefits and ride quality. Results are presented for target values associated with a 100% improvement on fuel economy while maintaining performance attributes relative to existing designs.
|
|
