Accurate identification of model parameters is a key aspect of lithium battery state estimation.
To accurately identify battery model parameters, this paper establishes Hysteresis …

The peak power and state of charge of lithium-ion batteries are closely related to the safety
of electric vehicles. Accurate peak power and state of charge prediction can extend battery …

The accuracy of the peak power is influenced by the accurate battery model, the results of the
parameter identification, and the state of charge (SOC). First, to accurately predict the peak …

The state of charge (SOC) of lithium‐ion batteries is the main parameter of the battery
management system. To improve the accuracy of lithium‐ion battery SOC estimation, this paper …

High precision state of health (SOH) estimation of lithium-ion batteries (LIBs) is a research
hotspot in battery management system (BMS). To achieve this goal, an improved integrated …

Unraveling the kinetic behavior inside the battery is essential to break through the limitations
of mechanistic studies and to optimize the control of the integrated management system. …

Battery state of charge (SOC) is crucial in power battery management systems for improving
the efficiency of battery use and its safety performance. In this paper, we propose a forgotten …

Deep learning (DL) methods is applied extensively in the field of state of charge (SOC)
estimation, which require training data and test data to have similar distribution. Discrepancies in …

The precise assessment of the state of charge (SOC) of lithium-ion batteries (LIBs) is critical
in battery management systems. This work offers a comprehensive learning particle swarm …

In the battery management system (BMS), the state of charge (SOC) of lithium-ion batteries
is an indispensable part, and the accuracy of SOC estimation has attracted wide attention. …