Estimation of the state of deterioration of an electric battery
US-2016187432-A1 · Jun 30, 2016 · US
US2023184846A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2023184846-A1 |
| Application number | US-202218081052-A |
| Country | US |
| Kind code | A1 |
| Filing date | Dec 14, 2022 |
| Priority date | Dec 14, 2021 |
| Publication date | Jun 15, 2023 |
| Grant date | — |
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Method for diagnosing and predicting the lifespan of lead-based batteries, especially lead-based batteries intended to store standby power.The invention essentially consists in a new method for diagnosing lead-acid batteries and advantageously for estimating their remaining lifespans, the batteries more particularly being intended for standby storage applications.The method is based on a combination of continuous monitoring measurements with integration of the over-charging current (computation of the over-charging Ah applied to the battery from its installation) and of periodic measurements under DC current of the internal resistance of the battery using short discharging periods with a constant current or a constant power.
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1 . A method for diagnosing an accumulator or battery employing an aqueous electrolyte, and especially a lead-acid battery, comprising the following steps: a/ continuously measuring an over-charging current (I ovch ) applied to the battery; b/ periodically measuring, under DC current, the internal resistance (R 120s ) of the battery, c/ normalizing a parameter derived from the over-charging current measured in step a/ and the internal resistance measured in step b/; d/ estimating the deviation of the logarithm of the internal resistance normalized in step c/, considered for the parameter derived from the over-charging current normalized in step c/, with respect to a straight calibration line, obtained from a linear regression of calibration measurements of internal resistance and over-charging current of a reference battery; e/ comparing the estimated deviation (Δ) to a predetermined threshold value depending on the type of battery: if the deviation is positive and higher than this threshold value then the battery needs to be changed because of its premature ageing; if the deviation is negative and lower than this threshold value then there is no need to change the battery. 2 . The diagnosing method according to claim 1 , wherein the parameter derived from the measured over-charging current is the integral (Q ovch ) of the float over-charging current when the voltage of the battery is maintained at a float-charging value comprised between 2.25 V and 2.3 V/accumulator. 3 . The diagnosing method according to claim 1 , wherein the normalization of the internal resistance in step c/ is carried out by dividing the measured internal resistance (R 120s ) by the internal resistance of the new battery measured under AC current at 1 kHz or of a new reference battery of the same type. 4 . The diagnosing method according to claim 2 , wherein the normalization of the over-charging current in step c/ is carried out by dividing the integral of the measured over-charging current (Q ovch ) by the nominal capacity (Cn) of the battery, defining an over-charging index (N ovch ). 5 . The diagnosing method according to claim 4 , further comprising the following steps: f/ estimating the ratio Nmax Novch between the over-charging limit (N max ) and the Novch over-charging index (N ovch ); g/ comparing the ratio Nmax Novch estimated in step f/ to 1: Novch if the estimated ratio Nmax Novch is lower than 1, then the battery needs to Novch be changed because its normal ageing has been exceeded. 6 . The diagnosing method according to claim 5 , further comprising the following step: if the ratio Nmax Novch compared in step g/ is higher than 1, and Novch if the absolute value of the deviation (Δ) estimated in step d/ is lower than the predetermined threshold value, then h/ determining the remaining lifespan (RBLT) of the battery using the equation: R B L T = N m a x N o v c h − 1 ∗ B O T in which BOT designates the actual time for which the battery has been in service. 7 . The diagnosing method according to claim 1 , wherein the periodic measurement of the internal resistance (R 120s ) of the battery in step b/ is carried out with application of a charging or discharging current over a fixed time interval. 8 . The diagnosing method according to claim 7 , wherein the fixed time interval is between 60 and 180 seconds for a discharging current corresponding to the nominal capacity (Cn). 9 . A system (BMS) for controlling a battery employing an aqueous electrolyte, to implement the method according to claim 1 , wherein the system comprises measurement sensors and a processor that is configured to deliver, on the basis of the measurements taken by the sensors, to the user, messages advising either of failure of the battery, or of correct operation of the battery, and preferably a message indicating the remaining lifespan (RBLT) of the battery. 10 . The method according to claim 1 , wherein the battery serves as a standby store of electricity, or serves as a base and backup for the low-voltage network of an electric car.
for lead-acid batteries · CPC title
without measurement of battery voltage · CPC title
Measuring internal impedance, internal conductance or related variables · CPC title
using current integration · CPC title
Determining battery ageing or deterioration, e.g. state of health · CPC title
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