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Von Bülow, Friedrich
Alfsen og Gunderson (Norway)
in Cooperation with on an Cooperation-Score of 37%
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Publications (12/12 displayed)
- 2024Conclusion
- 2024Related Work
- 2024Theoretical Background
- 2024Limitations & Outlook
- 2024Introduction
- 2024Transfer of Battery Cell State of Health Forecasting
- 2024Data
- 2024Battery System State of Health Forecasting
- 2024Towards State of Health Forecasting of Lithium-Ion Batteries
- 2024Battery Cell State of Health Forecasting
- 2024Concept for a Technical Implementation
- 2022State of Health Forecasting of Heterogeneous Lithium-ion Battery Types and Operation Enabled by Transfer Learningcitations
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document
Introduction
Abstract
In battery electric vehicles (BEVs), lithium-ion batteries (LIBs) are currently the most important battery technology. Over the lifetime of a LIB, the battery’s energy content, i.e., capacity, which determines the vehicle’s range decreases due to battery aging depending on its usage and environmental conditions. This chapter describes limitations of State of the Art methods for LIB state of heath (SOH) forecasting and derives four research questions.
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