Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Torsten Wik"'
Publikováno v:
AgriEngineering, Vol 3, Iss 3, Pp 648-668 (2021)
Chlorophyll fluorescence is interesting for phenotyping applications as it is rich in biological information and can be measured remotely and non-destructively. There are several techniques for measuring and analysing this signal. However, the standa
Externí odkaz:
https://doaj.org/article/ea50255b6dec45e58f9ccb63673569d2
Autor:
Fredrik Bengtsson, Torsten Wik
Publikováno v:
Modeling, Identification and Control, Vol 42, Iss 1, Pp 27-35 (2021)
A sparse control structure can be seen as a decentralised controller that is expanded to include feedforward or MIMO blocks. Here, use of the gramian based interaction measures to determine a sparse control structure with feedforward is examined. A m
Externí odkaz:
https://doaj.org/article/7a456914cb804254a385656d0afedb8e
Publikováno v:
Remote Sensing, Vol 11, Iss 4, p 434 (2019)
Using light emitting diodes (LEDs) for greenhouse illumination enables the use of automatic control, since both light quality and quantity can be tuned. Potential candidate signals when using biological feedback for light optimisation are steady-stat
Externí odkaz:
https://doaj.org/article/72e8edde0b6f459f84faabf93b758555
Publikováno v:
IEEE Transactions on Industrial Electronics. 69:5931-5941
Batteries are interconnected in series and/or parallel to meet wide-range power or energy demands in various industrial applications. To pursue the benefits of multiple connection structures in one system, reconfigurable battery systems (RBSs) have r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98b2108645cc72183d597a534b9a5a5c
https://doi.org/10.1109/tie.2021.3091923
https://doi.org/10.1109/tie.2021.3091923
Publikováno v:
IEEE Transactions on Transportation Electrification. 8:1604-1618
This article proposes an adaptive state of health (SOH) estimation method for lithium-ion batteries using machine learning. Practical problems with feature extraction, cell inconsistency, and online implementability are specifically solved using a pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fac467deec9b224e2ad579002064208
https://doi.org/10.1109/tte.2021.3129479
https://doi.org/10.1109/tte.2021.3129479
Publikováno v:
IEEE Transactions on Transportation Electrification. 8:925-935
To meet the ever-increasing demand for energy storage and power supply, battery systems are being vastly applied to, e.g., grid-level energy storage and automotive traction electrification. In pursuit of safe, efficient, and cost-effective operation,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d8b1e6f12fab43abb998e48d6f3418b
https://doi.org/10.1109/tte.2021.3101242
https://doi.org/10.1109/tte.2021.3101242
Publikováno v:
IEEE Transactions on Transportation Electrification. 8:976-989
In battery-powered applications, it is necessary to estimate the battery system’s maximum allowed current/power for a certain future time horizon, commonly referred to as the system’s state of power (SoP). Battery system SoP is sensitive to multi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dfe1dc6a8aa75333faccf5c3d498caf
https://doi.org/10.1109/tte.2021.3116658
https://doi.org/10.1109/tte.2021.3116658
Publikováno v:
IEEE Transactions on Vehicular Technology. 70:6485-6499
This paper presents predictive energy management of hybrid electric vehicles (HEVs) via computationally efficient multi-layer control. First, we formulate an optimization problem by considering driveability and a penalty for using service brakes in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dffaaa872be57a82a26ac0428658c44b
https://doi.org/10.1109/tvt.2021.3081346
https://doi.org/10.1109/tvt.2021.3081346
Publikováno v:
2022 European Control Conference (ECC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::733e69f7bd08e858d6317671fcf7eb1d
https://doi.org/10.23919/ecc55457.2022.9838382
https://doi.org/10.23919/ecc55457.2022.9838382
Fast Charging Control of Lithium-Ion Batteries: Effects of Input, Model, and Parameter Uncertainties
Publikováno v:
2022 European Control Conference (ECC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb61069bfff0c18e7cd99d5b298f03d2
https://doi.org/10.23919/ecc55457.2022.9838024
https://doi.org/10.23919/ecc55457.2022.9838024