Model-Based Methodology for Co-Design of Refrigerated Light-Duty e-Truck EV Powertrain Co-Design Based on Modular Energy Management Strategy
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20235019
- Paper/Info type
- Proceedings (Spring)
No.5-23
- Pages
- 1-6(Total 6 p)
- Date of publication
- May 2023
- Publisher
- JSAE
- Language
- English
- Event
- 2023 JSAE Annual Congress (Spring)
Detailed Information
| Author(J) | 1) Avedis Agop Dadikozyan, 2) Paul Rudolphus Mentink, 3) Steven Wilkins |
|---|---|
| Author(E) | 1) Avedis Agop Dadikozyan, 2) Paul Rudolphus Mentink, 3) Steven Wilkins |
| Affiliation(J) | 1) TNO, 2) TNO, 3) TNO/Technical University of Eindhoven |
| Affiliation(E) | 1) TNO, 2) TNO, 3) TNO/Technical University of Eindhoven |
| Abstract(E) | Vehicle electrification offers opportunities for new system architectures, and thus presents new challenges in terms of topology, component sizing, and control. The optimal powertrain configuration can be achieved by exploring a large topology design space alongside the sizing and control problem. For this reason, the proposed approach aims at jointly optimizing the e-powertrain by automatically generating the feasible configuration set, and the corresponding plant models and control algorithms. This paper presents the formentioned methodoloty and its application to (H)EV use cases, which reveal that taking into account the configuration design space can result in up to 30% reduction in vehicle TCO. |
