Results 121 to 130 of about 625,474 (199)

Tuning of Kalman filter parameters via genetic algorithm for state-of-charge estimation in battery management system. [PDF]

ScientificWorldJournal, 2014
Ting TO, Man KL, Lim EG, Leach M.
europepmc   +1 more source

The Methods for Estimating State of Charge in Lithium-Ion Batteries. [PDF]

Materials (Basel)
Xu P, Zhou R.
europepmc   +1 more source

Optimizing charge discharge cycles using QPPONet-enabled hybrid learning framework for energy management and safety in electric vehicles. [PDF]

Sci Rep
Sujan Kumar MV, Khekare G.
europepmc   +1 more source

A Battery-Aware Sensor Fusion Strategy: Unifying Magnetic-Inertial Attitude and Power for Energy-Constrained Motion Systems. [PDF]

Sensors (Basel)
Silva RDCE, Martins T, Bedretchuk JP, Kürschner VN, Spengler AW.   +4 more
europepmc   +1 more source

Assessing the impact of open-circuit voltage estimation methods on UKF performance for lithium-ion battery SOC and SOH estimation. [PDF]

Sci Rep
Mikhak-Beyranvand M, Salehi M, Mohammadkhani MA.   +2 more
europepmc   +1 more source

Enhancing SOC accuracy in electric vehicle batteries via trapezoidal integration and capacity degradation compensation. [PDF]

Sci Rep
Kulkarni SV, Gupta S, Arjun G, Kundu S, Shukla A.   +4 more
europepmc   +1 more source

Mathematical modelling of ion diffusion and state of charge prediction in sodium ion batteries with time series analysis. [PDF]

Sci Rep
S S, Srivastava N, Hristov J.
europepmc   +1 more source

Real time estimation of battery SOC and autonomous charging strategy for dynamic energy storage charging robot with extended Kalman filter. [PDF]

Sci Rep
Zhou Y, Liang X, Li W, Chen C, Zhao Y, Sun Y, Li T, Jiang K, Lyu Q, Sun Y.   +9 more
europepmc   +1 more source

An improved MobileNet based on a modified poor and rich optimization algorithm for lithium-ion battery state-of-health estimation. [PDF]

Sci Rep
Hajlaoui R, Shalaby M, Alfilh RHC, Singh NSS.   +3 more
europepmc   +1 more source

Battery State of Charge estimation with Kalman filter

This notebook explores the State of Charge (SoC) estimation of a battery using a state observer algorithm, the Kalman filter, or more precisely its nonlinear extension: the extended Kalman filter (EKF). The notebook provides three Python implementations of the Kalman filter: 1. a step-by-step literate programming version of the filter, using a sequence
openaire   +1 more source