Maximum pulse current estimation for high accuracy power capability prediction of a Li-Ion battery

Power Capability Analysis of Lithium Battery and Supercapacitor by Pulse Duration

“…The relationship between pulse power and the driving performance and safety of an electric vehicle is represented by the block diagram shown in Figure 1. Studies on the pulse power capability of auxiliary storage devices and their estimation have been conducted [6][7][8][9][10][11]. In a previous paper [6], a method for calculating the pulse power and an experimental approach for measuring the lumped resistance were described.…”

“…However, this work did not consider an approach for vehicle driving control and the effect on the duration time when pulse power is applied. In related studies [7,8], the magnitude of the pulse power was estimated over a Figure 1 shows a basic control block used to generate a torque command for a traction motor and the mechanical brake which is implemented in the vehicle control unit (VCU) of an electric vehicle.…”

State of Charge Estimation for Lithium-Ion Battery by Using Dual Square Root Cubature Kalman Filter

“…Several methods of estimating the battery SOC have been proposed including ampere-hour counting (Ah), open circuit voltage (OCV), artificial neural networks (ANN), fuzzy logic (FL), particle filter (PF), and improved Kalman filters [2][3][4][5][6][7][8][9][10][11][12][13][14][15]. Among them, Ah method is one of the most commonly used methods.…”

“…In the process of charging and discharging, the battery model parameters are not constant, which will lead to the drifting of the SOC estimation result [11]. In order to solve the problem, some researchers consider two Kalman filters structure to estimate SOC [12][13][14][15]. The dual EKF (DEKF) method is a combination of two EKFs, in which the SOC is estimated by the first EKF, and the parameter is estimated by the second EKF [12][13][14].…”

“…In order to solve the problem, some researchers consider two Kalman filters structure to estimate SOC [12][13][14][15]. The dual EKF (DEKF) method is a combination of two EKFs, in which the SOC is estimated by the first EKF, and the parameter is estimated by the second EKF [12][13][14]. Compared with the single filter structure, the SOC accuracy of two filters is improved greatly.…”