In order to address this issue, an online battery state of charge estimator on chip is conceived and implemented using Kalman filter. An early stage estimation of this duration reduces the overall risk through optimization of current consumption by switching off noncritical load ahead of delivery of power to a critical load. It is necessary to avoid unacceptable consequences due to unwanted battery power failure.
The fundamental conclusion of this paper is that obtaining an accurate result while estimating the SOC of a lead‐acid battery with an simpler Ampere‐hourmeter developed through a microcontroller based system is achievable but only if the used microcontroller holds enough memory to include the whole data treatment algorithms.įor a battery powered safety critical system the safe duration of power for executing a specific task is extremely important. Supported by previous studies in the field of SOC estimation in Hybrid Electric Vehicles and by experimental tests carried out by the researchers, the modelling of the simpler measuring system has been parameterized by following Peukert's Equation, and afterwards it has been integrated into a data acquisition and processing system designed through a CSNX25 current sensor and a low‐cost and low‐consume 16F877 microcontroller. This paper presents, then, the design of a simpler Ampere‐hourmeter based lead‐acid battery SOC estimating system. There exist several methods for the estimation of this SOC in Lead‐acid batteries however, when the requisites of the measuring method must offer, besides precision and reliability, the possibility to integrate the results into an automatized system, the Coulomb's counter is the method that prevails. In any application in which working with batteries is a must, the knowledge of the batteries' state‐of‐charge (SOC) is a fundamental parameter for anyone, so it determines the remaining capacity in the battery.
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