Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
Overview & Synopsis
This work aims at improving the energy consumption forecast of electric vehicles by enhancing the prediction with a notion of uncertainty. The algorithm itself learns from driver and traffic data in a training set to generate accurate, driver-individual energy consumption forecasts.
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Document Information
| Document Title | Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models |
|---|---|
| Author / Organization | Scheubner, Stefan |
| Subject & Discipline | Elektromobilität |
| Categories | Open Access Books |
| Publication Year | 2022 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
Directory of Open Access Books
(www.doabooks.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-264498 |
| Original Source Link | Visit Source Page on www.doabooks.org » |