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1 Ιαν 2021 · It could also be powered through a collector system by electricity from off-vehicle sources or could also be self-contained with a battery, solar panels, or an electrical generator to convert...
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18 Οκτ 2019 · Data used in this work is real traffic flow (i.e., GPS data) from 6% of privately owned cars in Rome. The assumption is that all of those are electric (i.e., switch to electric transportation...
5 Μαΐ 2023 · The present study aimed to assess design trends for different battery parameters from pack to cell to the electrode level using empirical battery and vehicle sales data. This allowed us to draw conclusions on the overall technological progress and the impact of the latest technologies on the market. However, our results come with some uncertainty.
28 Νοε 2023 · Utilizing data obtained from in-car sensors to analyses driver behaviour, regardless of being the transport is not completely autonomous, reduces the likelihood of intoxicated or drowsy
1 Νοε 2022 · Data-driven method intends to treat a battery system as a black box. Instead of analyzing the electrochemical mechanism and building the model, it attempts to extract the hidden correlations from numerous trained data (Hu et al., 2020b) and form a predictive model directly.
20 Σεπ 2023 · We analyze, and share with the public, battery pack data collected from the field operation of an electric vehicle, after implementing a processing pipeline to analyze one year of 1,655 battery signals.
20 Αυγ 2022 · Broadly speaking, the work highlights the promise of combining in-vehicle battery data and data-driven methods for modelling and predicting the evolution of multiphysics and multiscale electrochemical systems with missing and noisy data in a supervised data-driven manner.
