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Welcome to OpenAIR@RGU

OpenAIR@RGU is the open access institutional repository of Robert Gordon University. It contains examples of research outputs produced by staff and research students, as well as related information about the university's funded projects and staff research interests. Further information is available in the repository policy. Any questions about submissions to the repository or problems with access to any of its content should be sent to the Publications Team at publications@rgu.ac.uk



Latest Additions

Exclusive: Gokay Deveci.
Digital Artefact
DEVECI, G. and EDNIE, C. 2011. Exclusive: Gokay Deveci. [Blog post]. Posted on Architecture and Design Scotland [online], 2011. Available from: https://www.ads.org.uk/exclusive-gokay-deveci/

This is an interview of Gokay Deveci by Caroline Ednie, a freelance journalist working on behalf of Architecture and Design Scotland (ADS). The interview provides an overview of Professor Deveci's award-winning work in the area of architectural susta... Read More about Exclusive: Gokay Deveci..

A novel combined estimation method of online full-parameter identification and adaptive unscented particle filter for Li-ion batteries SOC based on fractional-order modeling. (2021)
Journal Article
CHEN, L., WANG, S., JIANG, H., FERNANDEZ, C. and XIONG, X. 2021. A novel combined estimation method of online full-parameter identification and adaptive unscented particle filter for Li-ion batteries SOC based on fractional-order modeling. International journal of energy research [online], Early View. Available from: https://doi.org/10.1002/er.6817

Accurate estimation of the state of charge (SOC) of Li-ion battery can ensure the reliability of the storage system. A combined estimator of online full-parameter identification and adaptive unscented particle filter for Li-ion battery SOC based on a... Read More about A novel combined estimation method of online full-parameter identification and adaptive unscented particle filter for Li-ion batteries SOC based on fractional-order modeling..

A national survey of community rehabilitation service provision for people with long Covid in Scotland. (2021)
Journal Article
DUNCAN, E., COOPER, K., COWIE, J., ALEXANDER, L., MORRIS, J. and PRESTON, J. 2021. A national survey of community rehabilitation service provision for people with Covid in Scotland. F1000Research [online], 9, article 1416. Available from: https://doi.org/10.12688/f1000research.27894.2

Background: Over 50 million cases of COVID-19 have been confirmed globally as of November 2020. Evidence is rapidly emerging on the epidemiology of COVID-19, and its impact on individuals and potential burden on health services and society. Between 1... Read More about A national survey of community rehabilitation service provision for people with long Covid in Scotland..

A novel fractional-order extended Kalman filtering method for on-line joint state estimation and parameter identification of the high power li-ion batteries. (2021)
Journal Article
CHEN, L., WANG, S., JIANG, H., FERNANDEZ, C. and XIONG, X. 2021. A novel fractional-order extended Kalman filtering method for on-line joint state estimation and parameter identification of the high power li-ion batteries. International journal of electrochemical science [online], 16(5), article 210537. Available from: https://doi.org/10.20964/2021.05.64

To ensure the reliability and sustainability of the energy storage system, it is important to accurately estimate the state of charge of the battery management system. The Li-ion battery is established based on fractional-order model, and the model p... Read More about A novel fractional-order extended Kalman filtering method for on-line joint state estimation and parameter identification of the high power li-ion batteries..

A novel adaptive particle swarm optimization algorithm based high precision parameter identification and state estimation of lithium-ion battery. (2021)
Journal Article
HE, M., WANG, S., FERNANDEZ, C., YU, C., LI, X. and BOBOBEE, E.D. 2021. A novel adaptive particle swarm optimization algorithm based high precision parameter identification and state estimation of lithium-ion battery. International journal of electrochemical science [online], 16(5), article 21054. Available from: https://doi.org/10.20964/2021.05.55

Lithium-ion batteries are widely used in new energy vehicles, energy storage systems, aerospace and other fields because of their high energy density, long cycle life and high-cost performance. Accurate equivalent modeling, adaptive internal state ch... Read More about A novel adaptive particle swarm optimization algorithm based high precision parameter identification and state estimation of lithium-ion battery..