Energy storage has become one of the most critical issues of modern technology. In this
regard, lithium-ion batteries have proven effective as an energy storage option. To optimize …

Lithium-ion batteries have become the fastest-growing energy storage equipment available
for extrinsic and intrinsic reasons. State of Charge (SOC) is one of the lithium-ion batteries' …

Building an accurate battery model and realizing a high-precision state of charge (SOC)
estimation is the key to ensuring the safe and efficient operation of electric vehicles. In this …

Battery temperature is directly related to various thermal faults and thermal runaway of a
battery system in electric vehicles. Its prediction is critical to the safety and durability of the …

Lithium‐ion batteries are widely used as rechargeable energy and power storage system in
smart devices and electric vehicles because of their high specific energy, high power …

Accurately estimating the state of charge (SOC) of lithium-ion batteries by the battery
management system (BMS) is crucial for safe electric vehicle (EV) operations. This paper …

Non-linear filters such as UKF, CKF are often used to estimate the State of Charge (SoC) of
lithium batteries, but the premise is that the noise is Gaussian noise, but the actual noise …

The accuracy of state of charge estimation results will directly affect the performance of
battery management system. Due to such, we focus in this article on the SOC estimation of …

This paper presents a type of noise-adaptive (NA) interacting multiple model (IMM) algorithm
combined with an unscented Kalman filter (UKF) in order to address problems in poor …

The estimation of the state of charge (SOC) and state of energy (SOE) of lithium-ion batteries
is very important for the battery management system (BMS) and the analysis of the causes of …