The coulomb counting method is expedient for state-of-charge (SOC) estimation of lithium-ion batteries with high charging and discharging efficiencies. The charging and discharging characteristics are investigated and reveal that the coulomb counting method is convenient and accurate for estimating the SOC of lithium-ion batteries.
The feasibility and robustness of the proposed methods are verified with two lithium-ion batteries under fast capacity degradation, and the validation results indicate that the data-driven coulomb counting method can calibrate the initial SOC and actual capacity, realizing the on-line accurate SOC estimation both in charging and discharging stage.
Unlike the OCV method, coulomb counting is independent of battery power fluctuations (which cause battery voltage drops), and accuracy remains constant regardless of battery usage.
The Coulomb counter approach is useful for estimating the battery SOC; also, in this case, the discharge with variable discharge currents is always correct. By using simple calculations and hardware requirements, the proposed method can therefore be systematically implemented in any portable devices as well as electric cars.
A data-driven coulomb counting method is proposed to estimate state of charge (SOC) of lithium-ion battery. The incremental capacity analysis method without filtering process is applied to calibrate the initial SOC value. The Gaussian process regression (GPR) method is used to calibrate the actual capacity.
Accurate state of charge (SoC) estimations are vital to guarantee the safe and efficient operation of Lithium-ion battery systems in electric vehicles. In this paper, an improved coulomb counting method with adaptive error correction (ICC-AEC) with dual closed-loop control system (DCLCS) for SoC estimation is proposed.