A hybrid algorithm based on beluga whale optimization-forgetting factor recursive least square and improved particle filter for the state of charge estimation of lithium-ion batteries.

Shen, Xianfeng; Wang, Shunli; Yu, Chunmei; Qi, Chuangshi; Li, Zehao; Fernandez, Carlos

doi:10.1007/s11581-023-05147-z

Valorisation of whisky distillery waste as a sustainable source of antioxidant and antibacterial properties with neuroprotective potential. (2023)
Journal Article
BLAIKIE, L., WELGAMAGE DON, A., FRANZEN, X., FERNANDEZ, C., FAISAL, N. and KONG THOO LIN, P. [2023]. Valorisation of whisky distillery waste as a sustainable source of antioxidant and antibacterial properties with neuroprotective potential. Waste and biomass valorization [online], Online First. Available from: https://doi.org/10.1007/s12649-023-02292-4

Waste by-products such as pot ale are abundantly produced during the whisky distillation process and are conventionally used as livestock feed, however a significant proportion continues to require land and sea disposal. Here, the novel potential of... Read More about Valorisation of whisky distillery waste as a sustainable source of antioxidant and antibacterial properties with neuroprotective potential..

A novel genetic marginalized particle filter method for state of charge and state of energy estimation adaptive to multi-temperature conditions of lithium-ion batteries. (2023)
Journal Article
JIA, X., WANG, S., CAO, J., QIAO, J., YANG, X., LI, Y. and FERNANDEZ, C. 2023. A novel genetic marginalized particle filter method for state of charge and state of energy estimation adaptive to multi-temperature conditions of lithium-ion batteries. Journal of energy storage [online], 74(part A), article number 109291. Available from: https://doi.org/10.1016/j.est.2023.109291

Power lithium-ion batteries are widely used in various fields, the battery management system (BMS) is the main object of battery energy management and safety monitoring, so the accurate collaboration of state of charge (SoC) and state of energy (SoE)... Read More about A novel genetic marginalized particle filter method for state of charge and state of energy estimation adaptive to multi-temperature conditions of lithium-ion batteries..

Nature-based solution to eliminate cyanotoxins in water using biologically enhanced biochar. (2023)
Journal Article
MOORE, J., JAYAKUMAR, A., SOLDATOU, S., MAŠEK, O., LAWTON, L.A. and EDWARDS, C. 2023. Nature-based solution to eliminate cyanotoxins in water using biologically enhanced biochar. Environmental science and technology [online], 57(43), pages 16372-16385. Available from: https://doi.org/10.1021/acs.est.3c05298

Climate change and high eutrophication levels of freshwater sources are increasing the occurrence and intensity of toxic cyanobacterial blooms in drinking water supplies. Conventional water treatment struggles to eliminate cyanobacteria/cyanotoxins a... Read More about Nature-based solution to eliminate cyanotoxins in water using biologically enhanced biochar..

Ferroelectric nematogens containing a methylthio group. (2023)
Journal Article
STEPANAFAS, G., CRUICKSHANK, E., BROWN, S., MAJEWSKA, M.M., POCIECHA, D., GORECKA, E., STOREY, J.M.C. and IMRIE, C.T. 2023. Ferroelectric nematogens containing a methylthio group. Materials advances [online], Advance Articles. Available from: https://doi.org/10.1039/d3ma00446e

The synthesis and characterisation of eight nematogens containing a terminal methylthio group is reported. The compounds are based on RM734 and differ in the number and position of fluorine substituents, and in the position of the lateral methoxy sub... Read More about Ferroelectric nematogens containing a methylthio group..

An improved random drift particle swarm optimization-feed forward backpropagation neural network for high-precision state-of-charge estimation of lithium-ion batteries. (2023)
Journal Article
HAI, N., WANG, S., LIU, D., GAO, H. and FERNANDEZ, C. 2023. An improved random drift particle swarm optimization-feed forward backpropagation neural network for high-precision state-of-charge estimation of lithium-ion batteries. Journal of energy storage [online], 73(part D), article number 109286. Available from: https://doi.org/10.1016/j.est.2023.109286

A predictive model with high accuracy and stability of the state of charge (SOC) estimation for lithium-ion batteries plays a significant role in electric vehicles. An improved random drift particle swarm optimization-feed forward backpropagation neu... Read More about An improved random drift particle swarm optimization-feed forward backpropagation neural network for high-precision state-of-charge estimation of lithium-ion batteries..

Co-estimation of state-of-charge and state-of-health for high-capacity lithium-ion batteries. (2023)
Journal Article
XIONG, R., WANG, S., FENG, F., YU, C., FAN, Y., CAO, W. and FERNANDEZ, C. 2023. Co-estimation of state-of-charge and state-of-health for high-capacity lithium-ion batteries. Batteries [online], 9(10), article number 509. Available from: https://doi.org/10.3390/batteries9100509

To address the challenges of efficient state monitoring of lithium-ion batteries in electric vehicles, a co-estimation algorithm of state-of-charge (SOC) and state-of-health (SOH) is developed. The algorithm integrates techniques of adaptive recursiv... Read More about Co-estimation of state-of-charge and state-of-health for high-capacity lithium-ion batteries..

The influence of the imine bond direction on the phase behaviour of symmetric and non-symmetric liquid crystal dimers. (2023)
Journal Article
CRUICKSHANK, E., WALKER, R., STRACHAN, G.J. GOODE, C.H.F., MAJEWSKA, M.M., POCIECHA, D., GORECKO, E., STOREY, J.M.D. and IMRIE, C.T. 2023. The influence of the imine bond direction on the phase behaviour of symmetric and non-symmetric liquid crystal dimers. Journal of molecular liquids [online], 391(part A), article number 123226. Available from: https://doi.org/10.1016/j.molliq.2023.123226

The synthesis and characterisation of two series of liquid crystal dimers are reported: the symmetric 1,5-bis(4'-oxyanilinebenzylidene-4-alkane)pentanes (m-O5O-m), and the nonsymmetric 1-(4-cyanobiphenyl-4'-yloxy)-5-(4'-oxyanilinebenzylidene-4-alkane... Read More about The influence of the imine bond direction on the phase behaviour of symmetric and non-symmetric liquid crystal dimers..

A novel in vitro model of the small intestinal epithelium in co-culture with "gut-like" dendritic cells. (2023)
Journal Article
JOHNSTON, L.J., BARNINGHAM, L., CAMPBELL, E.L., CEROVIC, V., DUCKWORTH, C.A., LUU, L., WASTLING, J., DERRICOTT, H. and COOMBES, J.L. 2023. A novel in vitro model of the small intestinal epithelium in co-culture with "gut-like" dendritic cells. Discovery immunology [online], 2(1), article number kyad018. Available from: https://doi.org/10.1093/discim/kyad018

Cross-talk between dendritic cells (DCs) and the intestinal epithelium is important in the decision to mount a protective immune response to a pathogen or to regulate potentially damaging responses to food antigens and the microbiota. Failures in thi... Read More about A novel in vitro model of the small intestinal epithelium in co-culture with "gut-like" dendritic cells..

Improved noise bias compensation-equivalent circuit modeling strategy for battery state of charge estimation adaptive to strong electromagnetic interference. (2023)
Journal Article
YANG, X., WANG, S., TAKYI-ANINAKWA, P., YANG, X. and FERNANDEZ, C. 2023. Improved noise bias compensation-equivalent circuit modeling strategy for battery state of charge estimation adaptive to strong electromagnetic interference. Journal of energy storage [online], 73(B), article number 108974. Available from: https://doi.org/10.1016/j.est.2023.108974

Strong electromagnetic interference, which has a significant impact on the performance and safety of the lithium-ion battery, usually affects the accurate state of charge (SOC). Different optimization strategies are used to estimate the model paramet... Read More about Improved noise bias compensation-equivalent circuit modeling strategy for battery state of charge estimation adaptive to strong electromagnetic interference..

Improved forgetting factor recursive least square and adaptive square root unscented Kalman filtering methods for online model parameter identification and joint estimation of state of charge and state of energy of lithium-ion batteries. (2023)
Journal Article
ZHU, T., WANG, S., FAN, Y., ZHOU, H., ZHOU, Y. and FERNANDEZ, C. 2023. Improved forgetting factor recursive least square and adaptive square root unscented Kalman filtering methods for online model parameter identification and joint estimation of state of charge and state of energy of lithium-ion batteries. Ionics [online], 29(12), pages 5295-5314. Available from: https://doi.org/10.1007/s11581-023-05205-6

The estimation of the state of charge (SOC) and state of energy (SOE) of lithium-ion batteries is very important for the battery management system (BMS) and the analysis of the causes of equipment failures. Aiming at many problems such as the changes... Read More about Improved forgetting factor recursive least square and adaptive square root unscented Kalman filtering methods for online model parameter identification and joint estimation of state of charge and state of energy of lithium-ion batteries..

To be or not to be polar: the ferroelectric and antiferroelectric nematic phases. (2023)
Journal Article
CRUICKSHANK, E., RYBAK, P., MAJEWSKA, M.M., RAMSAY, S., WANG, C, ZHU, C., WALKER, R., STOREY, J.M.D., IMRIE, C.T., GORECKA, E. and POCIECHA, D. 2023. To be or not to be polar: the ferroelectric and antiferroelectric nematic phases. ACS omega [online], 8(39), pages 36562-36568. Available from: https://doi.org/10.1021/acsomega.3c05884

We report two new series of compounds that show the ferroelectric nematic, NF, phase in which the terminal chain length is varied. The longer the terminal chain, the weaker the dipole–dipole interactions of the molecules are along the director and th... Read More about To be or not to be polar: the ferroelectric and antiferroelectric nematic phases..

High-precision state of charge estimation of lithium-ion batteries based on improved particle swarm optimization-backpropagation neural network-dual extended Kalman filtering. (2023)
Journal Article
CHEN, L., WANG, S., CHEN, L., QIAO, J. and FERNANDEZ, C. [2023]. High-precision state of charge estimation of lithium-ion batteries based on improved particle swarm optimization-backpropagation neural network-dual extended Kalman filtering. International journal of circuit theory and application [online], Early View. Available from: https://doi.org/10.1002/cta.3788

High precision state of Charge (SOC) estimation is essential for battery management systems (BMS). In this paper, a new SOC estimation method is proposed. The dual Kalman filter algorithm is combined with the backpropagation neural network (PSO-BPNN-... Read More about High-precision state of charge estimation of lithium-ion batteries based on improved particle swarm optimization-backpropagation neural network-dual extended Kalman filtering..

Improved backward smoothing square root cubature Kalman filtering and fractional order-battery equivalent modeling for adaptive state of charge estimation of lithium-ion batteries in electric vehicles. (2023)
Journal Article
ZHOU, J., WANG, S., CAO, W., XIE, Y. and FERNANDEZ, C. 2023. Improved backward smoothing square root cubature Kalman filtering and fractional order-battery equivalent modeling for adaptive state of charge estimation of lithium-ion batteries in electric vehicles. Energy technology [online], Early View. Available from: https://doi.org/10.1002/ente.202300765

The accuracy of lithium-ion battery state of charge (SOC) estimation affects the driving distance, battery life, and safety performance of electric vehicles. Herein, the polarization reaction inside the battery is modeled using a second-order fractio... Read More about Improved backward smoothing square root cubature Kalman filtering and fractional order-battery equivalent modeling for adaptive state of charge estimation of lithium-ion batteries in electric vehicles..

Specific pathway abundances in the neonatal calf faecal microbiome are associated with susceptibility to Cryptosporidium parvum infection: a metagenomic analysis. (2023)
Journal Article
HARES, M.F., GRIFFITHS, B.E., JOHNSON, F., NELSON, C., HALDENBY, S., STEWART, C.J. and DUNCAN, J.S. 2023. Specific pathway abundances in the neonatal calf faecal microbiome are associated with susceptibility to Cryptosporidium parvum infection: a metagenomic analysis. Animal microbiome [online], 5, article number 43. Available from: https://doi.org/10.1186/s42523-023-00265-5

Cryptosporidium parvum is the main cause of calf scour worldwide. With limited therapeutic options and research compared to other Apicomplexa, it is important to understand the parasites' biology and interactions with the host and microbiome in order... Read More about Specific pathway abundances in the neonatal calf faecal microbiome are associated with susceptibility to Cryptosporidium parvum infection: a metagenomic analysis..

Novel therapeutics and emerging technology in haemostasis and thrombosis: highlights from the British Society for Haemostasis and Thrombosis annual meeting. (2023)
Journal Article
WHYTE, C.S., MORROW, G.B., GAUER, J.S., MONTAGUE, S.J. and NICOLSON, P.L.R. 2023. Novel therapeutics and emerging technology in haemostasis and thrombosis: highlights from the British Society for Haemostasis and Thrombosis annual meeting (BSHT2023), 25-27 January 2023, Birmingham, UK. Front in cardiovascular medicine [online], 10, article number 1225243. Available from: https://doi.org/10.3389/fcvm.2023.1225243

The BSHT held its annual meeting between January 25th and 27th 2023 at the Edgbaston Park Hotel & Conference Centre, Birmingham, United Kingdom. The meeting is an opportunity for academic researchers, biomedical scientists and clinicians to network a... Read More about Novel therapeutics and emerging technology in haemostasis and thrombosis: highlights from the British Society for Haemostasis and Thrombosis annual meeting..

Multi-kernel support vector regression optimization model and indirect health factor extraction strategy for the accurate lithium-ion battery remaining useful life prediction. (2023)
Journal Article
CAO, J., WANG, S. and FERNANDEZ, C. 2023. Multi-kernel support vector regression optimization model and indirect health factor extraction strategy for the accurate lithium-ion battery remaining useful life prediction. Journal of solid state electrochemistry [online], Online First. Available from: https://doi.org/10.1007/s10008-023-05650-3

Remaining useful life (RUL) of lithium-ion batteries is an important indicator for battery health management, and accurate prediction can promote reliable battery system design, as well as safety and effectiveness of practical use. Therefore, we extr... Read More about Multi-kernel support vector regression optimization model and indirect health factor extraction strategy for the accurate lithium-ion battery remaining useful life prediction..

Influence of solids and hydraulic retention times on microbial diversity and removal of estrogens and nonylphenols in a pilot-scale activated sludge plant. (2023)
Journal Article
MENSAH, L., PETRIE, B., SCRIMSHAW, M., CARTMELL, E., FLETTON, M. and CAMPO, P. 2023. Influence of solids and hydraulic retention times on microbial diversity and removal of estrogens and nonylphenols in a pilot-scale activated sludge plant. Heliyon [online], 9(9), article e19461. Available from: https://doi.org/10.1016/j.heliyon.2023.e19461

The removal of EDCs in activated sludge processes can be enhanced by increasing solid and hydraulic retention times (SRT and HRT); it has been suggested that the improvement in removal is due to changes in microbial community structure (MCS). Though... Read More about Influence of solids and hydraulic retention times on microbial diversity and removal of estrogens and nonylphenols in a pilot-scale activated sludge plant..

Multiple layer kernel extreme learning machine modeling and eugenics genetic sparrow search algorithm for the state of health estimation of lithium-ion batteries. (2023)
Journal Article
LI, Y., WANG, S., CHEN, L., QI, C. and FERNANDEZ, C. 2023. Multiple layer kernel extreme learning machine modeling and eugenics genetic sparrow search algorithm for the state of health estimation of lithium-ion batteries. Energy [online], 282, article number 128776. Available from: https://doi.org/10.1016/j.energy.2023.128776

High precision state of health (SOH) estimation of lithium-ion batteries (LIBs) is a research hotspot in battery management system (BMS). To achieve this goal, an improved integrated algorithm based on multiple layer kernel extreme learning machine (... Read More about Multiple layer kernel extreme learning machine modeling and eugenics genetic sparrow search algorithm for the state of health estimation of lithium-ion batteries..

Remaining useful life prediction and state of health diagnosis for lithium-ion batteries based on improved grey wolf optimization algorithm-deep extreme learning machine algorithm. (2023)
Journal Article
ZHOU, Y., WANG, S., XIE, Y., SHEN, X. and FERNANDEZ, C. 2023. Remaining useful life prediction and state of health diagnosis for lithium-ion batteries based on improved grey wolf optimization algorithm-deep extreme learning machine algorithm. Energy [online], 285, article 128761. Available from: https://doi.org/10.1016/j.energy.2023.128761

The prediction of SOH for Lithium-ion battery systems determines the safety of Electric vehicles and stationary energy storage devices powered by LIBs. State of health diagnosis and remaining useful life prediction also rely significantly on excellen... Read More about Remaining useful life prediction and state of health diagnosis for lithium-ion batteries based on improved grey wolf optimization algorithm-deep extreme learning machine algorithm..

A hybrid algorithm based on beluga whale optimization-forgetting factor recursive least square and improved particle filter for the state of charge estimation of lithium-ion batteries. (2023)
Journal Article
SHEN, X., WANG, S., YU, C., QI, C., LI, Z. and FERNANDEZ, C. 2023. A hybrid algorithm based on beluga whale optimization-forgetting factor recursive least square and improved particle filter for the state of charge estimation of lithium-ion batteries. Ionics [online], 29(10), pages 4351-4363. Available from: https://doi.org/10.1007/s11581-023-05147-z

Battery state of charge (SOC) is crucial in power battery management systems for improving the efficiency of battery use and its safety performance. In this paper, we propose a forgotten factor recursive least squares (FFRLS) method based on the belu... Read More about A hybrid algorithm based on beluga whale optimization-forgetting factor recursive least square and improved particle filter for the state of charge estimation of lithium-ion batteries..

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