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Batteries and Ultracapacitors for Electric Power Systems with Renewable Energy Sources   331




















            FIGURE 13.12  A distributed BMS: each cell sends the data to the main controller.



                               Management       User         Electrical
                                  level        interface      control


                              State calculation  State
                                  level       calculation

                               Monitoring level
                                   Voltage                    Safety
                                  Current       Data
                               Temperature    acquisition    protection


                                                Thermal
                             Communication
                                               management

            FIGURE 13.13  Block diagram of a typical BMS. (Based on the concept proposed in Xing, Y. et al., Energies,
            4, 1840, 2011.)


            capacity of a battery gradually and nonlinearly degrades over time, making it very challenging to
            extract and estimate the exact value of the SOC. Extensive research has been conducted in recent
            years in this respect.
              The most common approach for estimating SOC is Coulomb counting, according to which the
            capacity of the battery is calculated by integrating the battery current over time. This method is well
            suited for Li-ion batteries, which have high columbic efficiency [7]. The accuracy of this method
            is highly dependent on the initial value of the SOC and the nominal capacity of the battery, which
            is decreasing as a battery ages. In order to reduce the possible initial SOC error and also to com-
            pensate for the possible accumulated error due to integration, the SOC estimation based on the
            open-circuit voltage (OCV) versus SOC table, a table in which each OCV value is associated with
            an SOC value, has been proposed [40]. Although the online (real-time) measurement of OCV has
            its own challenges, computationally intelligent methods, such as neural and fuzzy algorithms, have
            been developed in this respect to estimate SOC [41, 42]. Because these methods are very sensitive to
            the model error and disturbance, the estimated results may fluctuate widely. Furthermore, the OCV
            versus SOC or DOD curves for some battery chemistries are almost flat for most of the operating
            ranges, due to their cathode chemistry (Figure 13.14). Some types, such as LFP, also have a very
            long voltage relaxation time, limiting the practical application of this technique.
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