Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Søren B. Vilsen"'
Autor:
Søren B. Vilsen, Daniel-Ioan Stroe
Publikováno v:
Data in Brief, Vol 52, Iss , Pp 109861- (2024)
Lithium-ion (Li-ion) batteries are becoming an increasingly integral part of modern society, through consumer electronics, stabilisation of the electric grid, and electric vehicles. However, Lithium-ion batteries degrade in effectiveness over time; a
Externí odkaz:
https://doaj.org/article/470ba2e18e4543c89ca31cc5ee3b8822
Autor:
Søren B. Vilsen, Daniel-Ioan Stroe
Publikováno v:
Batteries, Vol 10, Iss 6, p 193 (2024)
As society becomes more reliant on Lithium-ion (Li-ion) batteries, state-of-health (SOH) estimation will need to become more accurate and reliable. Therefore, SOH modelling is in the process of shifting from using simple and continuous charge/dischar
Externí odkaz:
https://doaj.org/article/7903cdc2b07947bdb69ac1226defd4e4
Autor:
Remus Teodorescu, Xin Sui, Søren B. Vilsen, Pallavi Bharadwaj, Abhijit Kulkarni, Daniel-Ioan Stroe
Publikováno v:
Batteries, Vol 8, Iss 10, p 169 (2022)
Applications of lithium-ion batteries are widespread, ranging from electric vehicles to energy storage systems. In spite of nearly meeting the target in terms of energy density and cost, enhanced safety, lifetime, and second-life applications, there
Externí odkaz:
https://doaj.org/article/5be2ebf4ca1742d59648527fa354c15b
Publikováno v:
Vilsen, S B, Kær, S K & Stroe, D-I 2020, ' Log-Linear Model for Predicting the Lithium-ion Battery Age based on Resistance Extraction from Dynamic Aging Profiles ', I E E E Transactions on Industry Applications, vol. 56, no. 6, 6, pp. 6937-6948 . https://doi.org/10.1109/TIA.2020.3020529
In this work we propose a method for extracting, modelling, and predicting the resistance of Lithium-ion batteries directly from a dynamic mission profile, which was applied to the battery over a period of 38 weeks (approximately 4600 full equivalent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::178da097ac7cb9f1f1d4a8d6f16b2abb
https://doi.org/10.1109/tia.2020.3020529
https://doi.org/10.1109/tia.2020.3020529
Publikováno v:
Sui, X, He, S, Vilsen, S B, Meng, J, Teodorescu, R & Stroe, D-I 2021, ' A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery ', Applied Energy, vol. 300, 117346 . https://doi.org/10.1016/j.apenergy.2021.117346
Lithium-ion batteries are used in a wide range of applications including energy storage systems, electric transportations, and portable electronic devices. Accurately obtaining the batteries’ state of health (SOH) is critical to prolong the service
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::174047576711700858eaa366a8abc373
https://vbn.aau.dk/ws/files/427662086/APEN_117346.pdf
https://vbn.aau.dk/ws/files/427662086/APEN_117346.pdf
Autor:
Daniel-Ioan Stroe, Søren B. Vilsen
Publikováno v:
Vilsen, S B & Stroe, D-I 2021, ' Battery state-of-health modelling by multiple linear regression ', Journal of Cleaner Production, vol. 290, 125700 . https://doi.org/10.1016/j.jclepro.2020.125700
The introduction of raw measurement data from field operated batteries when modelling battery state-of-health (SOH) has both advantages and disadvantages. An advantage being the reduction in the amount of expensive laboratory testing in the analysed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca633b56a461df98f4273bd69468980d
https://vbn.aau.dk/da/publications/29095033-9340-414e-9fa9-c3f1ba3447d5
https://vbn.aau.dk/da/publications/29095033-9340-414e-9fa9-c3f1ba3447d5
Autor:
Søren B. Vilsen, Daniel-Ioan Stroe
Publikováno v:
Vilsen, S B & Stroe, D-I 2021, An auto-regressive model for battery voltage prediction . in 2021 IEEE Applied Power Electronics Conference and Exposition (APEC) . IEEE, I E E E Applied Power Electronics Conference and Exposition. Conference Proceedings, pp. 2673-2680, 36th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2021, Virtual, Online, United States, 14/06/2021 . https://doi.org/10.1109/APEC42165.2021.9487060
Accurate modelling of the dynamic behaviour of Lithium-ion (Li-ion) batteries is important in a wide range of scenarios from the determination of appropriate battery-pack size, to battery balancing and state estimation in battery management systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cab4615c8e48f5807d4f5e2ac3506bb4
https://vbn.aau.dk/ws/files/412776720/An_auto_regressive_model_for_battery_voltage_prediction.pdf
https://vbn.aau.dk/ws/files/412776720/An_auto_regressive_model_for_battery_voltage_prediction.pdf
Publikováno v:
Vilsen, S B, Sui, X & Stroe, D-I 2020, A Time-Varying Log-linear Model for Predicting the Resistance of Lithium-ion Batteries . in 2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia) ., 9367839, IEEE, 2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia, pp. 1659-1666, 2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia), Nanjing, China, 29/11/2020 . https://doi.org/10.1109/IPEMC-ECCEAsia48364.2020.9367839
The resistance offers insight into the efficiency and power capability of Lithium-ion (Li-ion) batteries. That is, it can describe the performance of the batteries. However, as with other performance parameters of Li-ion batteries, the resistance is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55005a16d820bfe657ed56285692a062
https://vbn.aau.dk/ws/files/337357196/A_time_varying_log_linear_model_for_predicting_the_resistance_of_Li_ion_batteries.pdf
https://vbn.aau.dk/ws/files/337357196/A_time_varying_log_linear_model_for_predicting_the_resistance_of_Li_ion_batteries.pdf
Publikováno v:
Vilsen, S B, Kær, S K & Stroe, D-I 2019, Predicting Lithium-ion Battery Resistance Degradation using a Log-Linear Model . in Proceedings of 2019 IEEE Energy Conversion Congress and Exposition (ECCE) ., 8912770, IEEE Press, IEEE Energy Conversion Congress and Exposition, pp. 1136-1143, 2019 IEEE Energy Conversion Congress and Exposition (ECCE), Baltimore, Maryland, United States, 29/09/2019 . https://doi.org/10.1109/ECCE.2019.8912770
The resistance is one of the parameters that describes the performance of Lithium-ion (Li-ion) batteries, as it offers information about the battery efficiency and its power capability. However, similar to other performance parameters of Li-ion batte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97126fb9d2ad2237afa7884d92a0fdc2
https://vbn.aau.dk/ws/files/316557646/PID6006633_7.pdf
https://vbn.aau.dk/ws/files/316557646/PID6006633_7.pdf
Autor:
Claus Bøsting, Torben Tvedebrink, Helle Smidt Mogensen, Poul Svante Eriksen, Niels Morling, Søren B. Vilsen, Christian Hussing
Publikováno v:
Vilsen, S B, Tvedebrink, T, Eriksen, P S, Bøsting, C, Hussing, C, Mogensen, H S & Morling, N 2018, ' Stutter analysis of complex STR MPS data ', Forensic Science International: Genetics, vol. 35, pp. 107-112 . https://doi.org/10.1016/j.fsigen.2018.04.003
Stutters are common and well documented artefacts of amplification of short tandem repeat (STR) regions when using polymerase chain reaction (PCR) occurring as strands one or more motifs shorter or longer than the parental allele. Understanding the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f7517ccd994603a41bc162f0fde8a70
https://vbn.aau.dk/da/publications/9c1ab5fb-ab87-4e2e-ab97-70f9391b45f7
https://vbn.aau.dk/da/publications/9c1ab5fb-ab87-4e2e-ab97-70f9391b45f7