A case study to compare the methods of SOC estimation for lithium-ion batteries using second-order RC circuit model. [PDF]
Xu HY, Wang JL, Wang WW.
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The Methods for Estimating State of Charge in Lithium-Ion Batteries. [PDF]
Xu P, Zhou R.
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Harnessing artificial neural networks for accurate PV system parameters determination: radiation, temperature, and MPPT. [PDF]
Abdelqawee IM +4 more
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Inter-area minimisation of reactive power flow for voltage improvement in large electric grids. [PDF]
Singh M, Negi W, Jadoun VK.
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Design of a Nanowatt-Level-Power-Consumption, High-Sensitivity Wake-Up Receiver for Wireless Sensor Networks. [PDF]
An Y +5 more
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Hybrid fuzzy-MPC based multi-objective control strategy for fast charging of electric vehicles with advanced battery thermal management and renewable grid support. [PDF]
Yadav IC, Bajpai RS, Gupta S, Shukla A.
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Hardware implementation of EKF based SOC estimate for lithium-ion batteries in electric vehicle applications. [PDF]
Nishanth G +3 more
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Development of dual polarization battery model with high accuracy for a lithium-ion battery cell under dynamic driving cycle conditions. [PDF]
Tekin M, Karamangil MI.
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Reduced switch multiple active bridge DC-DC converter for modular solid-state transformers. [PDF]
Khani S, Hosseini SH, Sabahi M.
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Advancing state estimation for lithium-ion batteries with hysteresis through systematic extended Kalman filter tuning. [PDF]
Knox J, Blyth M, Hales A.
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