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MPF42791 Datasheet(PDF) 69 Page - Monolithic Power Systems |
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MPF42791 Datasheet(HTML) 69 Page - Monolithic Power Systems |
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69 / 75 page ![]() MPF42791 – 2 TO 16 BATTERY PACK FG W/ R DETECTION AND THERMAL MODEL MPF42791 Rev. 1.0 MonolithicPower.com 69 9/19/2022 MPS Proprietary Information. Patent Protected. Unauthorized Photocopy and Duplication Prohibited. © 2022 MPS. All Rights Reserved. APPLICATION INFORMATION CORE ALGORITHM The fuel gauge core algorithm accurately estimates core cell-level and pack-level parameters. These core parameters can be found in the Fuel Gauge Output register map. Cell Mathematical Model Cell dynamics are influenced by multiple factors, such as chemistry, SOC, current, and temperature. A mathematical model that captures the cell’s most important dynamics is required to accurately measure internal variables. Cell mathematical models are provided by MPS. These models are either from a database or they are a result of the cell characterization routine. Cell State-of-Charge (SOC) Cell SOC (SOC_ABS_CELLx) refers to the cell capacity that is currently available, as a function of the rated capacity. SOC is an unknown, internal variable that cannot be directly measured, meaning it must be estimated using available measurements. The MPF42791 uses voltage, current, and temperature measurements observed over time to produce accurate SOC estimates across a wide range of operating conditions. Empty State-of-Charge (SOC) Empty SOC (EMTY_SOC_CELLx) refers to the SOC level at which the battery pack is unable to discharge further without reaching the voltage cutoff limits defined in VPACK_EMTY. The empty SOC prediction relies on the operating conditions of the different cells, as well as the discharge current supplied to the load, which is specific to each application. In addition, the MPF42791 can predict whether the battery pack discharge is limited by the pack or one of the cells (the cell ID is provided). This is extremely important for accurate empty SOC estimation in unbalanced packs, since the fuel gauge must track the condition that limits the battery pack discharge. Full State-of-Charge (SOC) Full SOC (FULL_SOC_CELLx) refers to the SOC level at which the battery pack is unable to charge further without leaving the safe operating area (SOA). The full SOC prediction relies on the operating conditions of the different cells, as well as the constant-current/constant-voltage (CC/CV) charging sequence, which is specific to each application. The MPF42791 can predict whether the battery pack charge is limited by the pack or one of the cells (the cell ID is provided). This is extremely important for accurate full SOC estimation in unbalanced packs, since the fuel gauge must track the condition that limits the battery pack charge. Thermal Modeling The MPF42791 incorporates battery thermal modeling, which is extremely important to account for battery self-heating. The internal resistance of each cell causes the cell’s temperature to rise during charge and discharge due to the Joule heating effect. As temperature of cells increases, internal resistance decreases and this can dramatically impact performance, especially at low temperatures. The ability to predict this temperature rise allows the fuel gauge to determine state-of-charge more accurately. Pack State-of-Charge (SOC) Pack SOC (SOC_PACK) provides the capacity, which is a function of the available capacity given the actual pack operating conditions. Pack SOC relies on cell-level quantities and tracks the remaining capacity that the battery can charge or discharge without reaching the cutoff limits. Pack SOC can be considered the most vital estimate since it is typically the value shown to the application end user. Pack Unavailable State-of-Charge (SOC) Pack unavailable SOC (SOC_PACK_UNAVBL) refers to the capacity that is not available due to the actual pack operating conditions (e.g. mismatched cells and battery pack configurations). Pack unavailable SOC provides the capacity that the battery cannot use without violating the defined SOA. |
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