Optimization of hybrid electric drive system components in long-haul vehicles for the evaluation of customer requirements
| Autor: | Lew Fulton, Lorenz Horlbeck, Michael Fries, Matthias Kerler, Markus Lienkamp, Sebastian Wolff, Andrew Burke |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Truck
Battery (electricity) 010504 meteorology & atmospheric sciences Payload Computer science Drivetrain Energy consumption Total cost of ownership 01 natural sciences Automotive engineering 010101 applied mathematics Diesel fuel visual_art Electronic component visual_art.visual_art_medium 0101 mathematics 0105 earth and related environmental sciences |
| Zdroj: | 2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS). |
| DOI: | 10.1109/peds.2017.8289236 |
| Popis: | Optimum drivetrain design is the key objective for achieving climate and economy improvements in the long-haul industry. The approach introduced focuses on the optimization of electronic component design. Not only are the longitudinal dynamics and the energy consumption included, but a detailed cost model of the components is also applied. The objective is to identify the most profitable state-of-the-art drive technologies. An evolutionary optimization algorithm combines a generic vehicle model with a cost model to calculate the Pareto optimal solutions for battery systems, electric machines and gearbox design. The results show the potential of Hybrid Electric Vehicles in comparison to diesel trucks. Fuel savings are expressed with the indicator transport efficiency in grams of CO2 per transported ton of payload. The Total Cost of Ownership is calculated in Euros per ton kilometer. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|