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A New Predictive Model for the State-of-Charge of a High-Power Lithium-Ion Cell Based on a PSO-Optimized Multivariate Adaptive Regression Spline Approach.

, , , , , and . IEEE Trans. Veh. Technol., 65 (6): 4197-4208 (2016)

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Assessment of Multi-Objective Optimization Algorithms for Parametric Identification of a Li-Ion Battery Model., , and . HAIS, volume 9648 of Lecture Notes in Computer Science, page 250-260. Springer, (2016)An Electronic Instrumentation Design Project for Computer Engineering Students., , , , , and . IEEE Trans. Educ., 48 (3): 472-481 (2005)Learning human-understandable models for the health assessment of Li-ion batteries via Multi-Objective Genetic Programming., , and . Eng. Appl. Artif. Intell., (2019)A Variable Effective Capacity Model for LiFePO4 Traction Batteries Using Computational Intelligence Techniques., , , , , and . IEEE Trans. Ind. Electron., 62 (1): 555-563 (2015)Identification of Li-ion battery models through monotonic echo serial networks for coarse data., , , and . Log. J. IGPL, 28 (1): 109-120 (2020)Using Fuzzy Preference Orderings in θ-Dominance with Application to Health Monitoring of Li-Ion Batteries., , , , and . J. Multiple Valued Log. Soft Comput., 32 (3-4): 343-367 (2019)A class of Monotone Fuzzy rule-based Wiener systems with an application to Li-ion battery modelling., , and . Eng. Appl. Artif. Intell., (2017)Data-driven state-of-charge prediction of a storage cell using ABC/GBRT, ABC/MLP and LASSO machine learning techniques., , , , and . J. Comput. Appl. Math., (December 2023)Online SOC estimation of Li-FePO4 batteries through an observer of the system state with minimal nonspecificity., , and . FUZZ-IEEE, page 1-8. IEEE, (2015)Design of a low-cost sensor system for the determination of the number of somatic cells in milk using bioluminescence analysis., , , , , , and . IEEE Trans. Instrum. Meas., 51 (2): 320-325 (2002)