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11 papers · 1 filter
A Time and Cost Effective Method for Entropic Coefficient Determination of a Large Commercial Battery Cell
Zeyang Geng, Jens Groot, Torbjörn Thiringer
The entropic coefficient of a lithium-ion battery cell is used to calculate the reversible heat of a battery during operation, which is a non-negligible part for the battery therma…
Online Learning of Energy Consumption for Navigation of Electric Vehicles
Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
Energy efficient navigation constitutes an important challenge in electric vehicles, due to their limited battery capacity. We employ a Bayesian approach to model the energy consum…
Applying quantum approximate optimization to the heterogeneous vehicle routing problem
David Fitzek, Toheed Ghandriz, Leo Laine +2
Quantum computing offers new heuristics for combinatorial problems. With small- and intermediate-scale quantum devices becoming available, it is possible to implement and test thes…
Bayesian propensity score matching in automotive embedded software engineering
Yuchu Liu, David Issa Mattos, Jan Bosch +2
Randomised field experiments, such as A/B testing, have long been the gold standard for evaluating the value that new software brings to customers. However, running randomised fiel…
Online Learning of Network Bottlenecks via Minimax Paths
Niklas Åkerblom, Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani
In this paper, we study bottleneck identification in networks via extracting minimax paths. Many real-world networks have stochastic weights for which full knowledge is not availab…
Active Learning of Driving Scenario Trajectories
Sanna Jarl, Linus Aronsson, Sadegh Rahrovani +1
Annotated driving scenario trajectories are crucial for verification and validation of autonomous vehicles. However, annotation of such trajectories based only on explicit rules (i…