Abstract
The combinatorial nature of powertrain system design problems challenges system engineers as powertrain components can be interconnected, sized and controlled in numerous ways. Hence, finding promising candidates considering, e.g., fuel economy, drivability and complexity requires a systematic approach. A dedicated and novel framework for computational design synthesis is, therefore, presented in this article. The underlying aim of this framework is to enable full-automated powertrain system optimization over multiple system layers, including topology selection, component sizing and optimal control, and follows the principles of platform-based design. Based on a library of components, system topologies are automatically generated by solving a constraint satisfaction problem. Meanwhile, constraints originating from customers requirements, application specific design rules and physical laws are respected. Furthermore, the topology generation can be applied to hierarchical decomposed systems on multiple system levels in order to reach the full potential of system design. Using a relevant automotive use-case, it is demonstrated that possible topologies for powertrains equipped with a complex continuously variable transmission are automatically synthesized. Next, simulation-based evaluation (automated physical modeling and filtering) of these candidates by this framework results in a set of feasible topologies, satisfying the required functionality and physical constructability. Along with this topology evaluation phase, a control-actuation scheme and a initial set of feasible component parameters are obtained that are required for full automated multi-layer optimization, which is seen as the next novel future step. The presented framework leads to novel and innovative powertrain and transmission designs with a total amount of 635 feasible transmission topologies based on maximum 13 components, whereas the overall time required to generate and evaluate all initial possible candidates (2.5 <formula><tex>${\cdot }$</tex></formula>10<formula><tex>$^{27}$</tex></formula>) is relative short, i.e., 5.5 and 20 hours, respectively.
| Original language | English |
|---|---|
| Pages (from-to) | 8065-8076 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Vehicular Technology |
| Volume | 67 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 1 Sep 2018 |
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Keywords
- Computational design synthesis
- constraint consistency
- constraint satisfaction programming
- nested graph
- powertrain
- topology
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Modified computational design synthesis using simulation-based evaluation and constraint consistency for vehicle powertrain systems. / Wijkniet, Jan; Hofman, Theo.
In: IEEE Transactions on Vehicular Technology, Vol. 67, No. 9, 01.09.2018, p. 8065-8076.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - Modified computational design synthesis using simulation-based evaluation and constraint consistency for vehicle powertrain systems
AU - Wijkniet, Jan
AU - Hofman, Theo
PY - 2018/9/1
Y1 - 2018/9/1
N2 - The combinatorial nature of powertrain system design problems challenges system engineers as powertrain components can be interconnected, sized and controlled in numerous ways. Hence, finding promising candidates considering, e.g., fuel economy, drivability and complexity requires a systematic approach. A dedicated and novel framework for computational design synthesis is, therefore, presented in this article. The underlying aim of this framework is to enable full-automated powertrain system optimization over multiple system layers, including topology selection, component sizing and optimal control, and follows the principles of platform-based design. Based on a library of components, system topologies are automatically generated by solving a constraint satisfaction problem. Meanwhile, constraints originating from customers requirements, application specific design rules and physical laws are respected. Furthermore, the topology generation can be applied to hierarchical decomposed systems on multiple system levels in order to reach the full potential of system design. Using a relevant automotive use-case, it is demonstrated that possible topologies for powertrains equipped with a complex continuously variable transmission are automatically synthesized. Next, simulation-based evaluation (automated physical modeling and filtering) of these candidates by this framework results in a set of feasible topologies, satisfying the required functionality and physical constructability. Along with this topology evaluation phase, a control-actuation scheme and a initial set of feasible component parameters are obtained that are required for full automated multi-layer optimization, which is seen as the next novel future step. The presented framework leads to novel and innovative powertrain and transmission designs with a total amount of 635 feasible transmission topologies based on maximum 13 components, whereas the overall time required to generate and evaluate all initial possible candidates (2.5 ${\cdot }$10$^{27}$) is relative short, i.e., 5.5 and 20 hours, respectively.
AB - The combinatorial nature of powertrain system design problems challenges system engineers as powertrain components can be interconnected, sized and controlled in numerous ways. Hence, finding promising candidates considering, e.g., fuel economy, drivability and complexity requires a systematic approach. A dedicated and novel framework for computational design synthesis is, therefore, presented in this article. The underlying aim of this framework is to enable full-automated powertrain system optimization over multiple system layers, including topology selection, component sizing and optimal control, and follows the principles of platform-based design. Based on a library of components, system topologies are automatically generated by solving a constraint satisfaction problem. Meanwhile, constraints originating from customers requirements, application specific design rules and physical laws are respected. Furthermore, the topology generation can be applied to hierarchical decomposed systems on multiple system levels in order to reach the full potential of system design. Using a relevant automotive use-case, it is demonstrated that possible topologies for powertrains equipped with a complex continuously variable transmission are automatically synthesized. Next, simulation-based evaluation (automated physical modeling and filtering) of these candidates by this framework results in a set of feasible topologies, satisfying the required functionality and physical constructability. Along with this topology evaluation phase, a control-actuation scheme and a initial set of feasible component parameters are obtained that are required for full automated multi-layer optimization, which is seen as the next novel future step. The presented framework leads to novel and innovative powertrain and transmission designs with a total amount of 635 feasible transmission topologies based on maximum 13 components, whereas the overall time required to generate and evaluate all initial possible candidates (2.5 ${\cdot }$10$^{27}$) is relative short, i.e., 5.5 and 20 hours, respectively.
KW - Computational design synthesis
KW - constraint consistency
KW - constraint satisfaction programming
KW - nested graph
KW - powertrain
KW - topology
UR - http://www.scopus.com/inward/record.url?scp=85047979516&partnerID=8YFLogxK
U2 - 10.1109/TVT.2018.2844024
DO - 10.1109/TVT.2018.2844024
M3 - Article
AN - SCOPUS:85047979516
VL - 67
SP - 8065
EP - 8076
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
SN - 0018-9545
IS - 9
ER -