In this paper, we consider the problem of state-of-charge estimation for rechargeable
batteries. Coulomb counting is a well-known method for estimating the state of charge, and it …

Abstract State-of-charge (SOC) estimation is one of the key technologies for the
development and application of battery management system (BMS). To achieve high …

Battery technology besides its importance and exceptional characteristics is not still a
mature technology and there is a real need for research and innovation in their lifetime …

Nonlinear filter methods are commonly employed for model-driven based battery state of
charge (SOC) estimation because of their ability to suppress Gaussian noise. Due to the …

In order to improve the convergence time and stabilization accuracy of the real-time state
estimation of the power batteries for electric vehicles, a fuzzy unscented Kalman filtering …

Thermal management for electric vehicles is becoming ever more significant for ensuring
prolonged driving range. Climatization of batteries to the optimal operating temperatures is …

Due to the possible interference of non-Gaussian noise in Li-ion battery management
systems, there is no guarantee of reliable accuracy when using the extended Kalman filter …

State of charge (SOC) estimation plays a crucial role in battery management systems.
Among all the existing SOC estimation approaches, the model-driven extended Kalman filter …

Aiming at the state estimation error caused by inaccurate battery model parameter
estimation, a model-based state of charge (SOC) estimation method of lithium-ion battery is …

As a powerful tool for real-time battery management, the extended Kalman filter (EKF) can
achieve an online estimation for state of charge (SOC). The EKF, however, may yield biased …