| Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries S Wang, Y Fan, S Jin, P Takyi-Aninakwa, C Fernandez Reliability Engineering & System Safety 230, 108920, 2023 | 351 | 2023 |
| Transforming knowledge systems for life on Earth: Visions of future systems and how to get there I Fazey, N Schäpke, G Caniglia, A Hodgson, I Kendrick, C Lyon, G Page, ... Energy research & social science 70, 101724, 2020 | 298 | 2020 |
| An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage … S Wang, P Takyi-Aninakwa, S Jin, C Yu, C Fernandez, DI Stroe Energy 254, 124224, 2022 | 297 | 2022 |
| A state-of-charge estimation method of the power lithium-ion battery in complex conditions based on adaptive square root extended Kalman filter C Jiang, S Wang, B Wu, C Fernandez, X Xiong, J Coffie-Ken Energy 219, 119603, 2021 | 238 | 2021 |
| A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries S Wang, S Jin, D Bai, Y Fan, H Shi, C Fernandez Energy Reports 7, 5562-5574, 2021 | 225 | 2021 |
| Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to … S Wang, F Wu, P Takyi-Aninakwa, C Fernandez, DI Stroe, Q Huang Energy 284, 128677, 2023 | 213 | 2023 |
| A novel charged state prediction method of the lithium ion battery packs based on the composite equivalent modeling and improved splice Kalman filtering algorithm S Wang, C Fernandez, C Yu, Y Fan, W Cao, DI Stroe Journal of power sources 471, 228450, 2020 | 202 | 2020 |
| A critical review of improved deep convolutional neural network for multi-timescale state prediction of lithium-ion batteries S Wang, P Ren, P Takyi-Aninakwa, S Jin, C Fernandez Energies 15 (14), 5053, 2022 | 110 | 2022 |
| Biodegradation of Poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) Plastic under Anaerobic Sludge and Aerobic Seawater Conditions: Gas Evolution and Microbial … S Wang, KA Lydon, EM White, JB Grubbs III, EK Lipp, J Locklin, ... Environmental science & technology 52 (10), 5700-5709, 2018 | 97 | 2018 |
| A critical review of online battery remaining useful lifetime prediction methods S Wang, S Jin, D Deng, C Fernandez Frontiers in Mechanical Engineering 7, 719718, 2021 | 87 | 2021 |
| Online dynamic equalization adjustment of high-power lithium-ion battery packs based on the state of balance estimation S Wang, L Shang, Z Li, H Deng, J Li Applied Energy 166, 44-58, 2016 | 83 | 2016 |
| A novel adaptive dual extended Kalman filtering algorithm for the Li‐ion battery state of charge and state of health co‐estimation W Xu, S Wang, C Jiang, C Fernandez, C Yu, Y Fan, W Cao International Journal of Energy Research 45 (10), 14592-14602, 2021 | 81 | 2021 |
| A novel practical state of charge estimation method: an adaptive improved ampere‐hour method based on composite correction factor X Xiong, SL Wang, C Fernandez, CM Yu, CY Zou, C Jiang International journal of energy research 44 (14), 11385-11404, 2020 | 73 | 2020 |
| Ingested micronizing plastic particle compositions and size distributions within stranded post-hatchling sea turtles EM White, S Clark, CA Manire, B Crawford, S Wang, J Locklin, BW Ritchie Environmental science & technology 52 (18), 10307-10316, 2018 | 70 | 2018 |
| A novel fuzzy adaptive cubature Kalman filtering method for the state of charge and state of energy co-estimation of lithium-ion batteries X Yang, S Wang, W Xu, J Qiao, C Yu, P Takyi-Aninakwa, S Jin Electrochimica Acta 415, 140241, 2022 | 69 | 2022 |
| An adaptive working state iterative calculation method of the power battery by using the improved Kalman filtering algorithm and considering the relaxation effect SL Wang, C Fernandez, W Cao, CY Zou, CM Yu, XX Li Journal of Power Sources 428, 67-75, 2019 | 68 | 2019 |
| Overview of machine learning methods for lithium-ion battery remaining useful lifetime prediction S Jin, X Sui, X Huang, S Wang, R Teodorescu, DI Stroe Electronics 10 (24), 3126, 2021 | 66 | 2021 |
| A novel back propagation neural network-dual extended Kalman filter method for state-of-charge and state-of-health co-estimation of lithium-ion batteries based on limited … C Wang, S Wang, J Zhou, J Qiao, X Yang, Y Xie Journal of Energy Storage 59, 106563, 2023 | 64 | 2023 |
| Online state of charge estimation for the aerial lithium-ion battery packs based on the improved extended Kalman filter method S Wang, C Fernandez, L Shang, Z Li, J Li Journal of Energy Storage 9, 69-83, 2017 | 64 | 2017 |
| A strong tracking adaptive fading‐extended Kalman filter for the state of charge estimation of lithium‐ion batteries P Takyi‐Aninakwa, S Wang, H Zhang, E Appiah, ED Bobobee, ... International Journal of Energy Research 46 (12), 16427-16444, 2022 | 63 | 2022 |
Daniel StroeBatteries Research Group Leader at AAU-Energy, Aalborg Universityet.aau.dk üzerinde doğrulanmış e-posta adresine sahip