Calculation method of the battery SOC based on evolvable hardware

Abstract

Battery state-of-charge (SOC) is estimated for electric or hybrid electric vehicles by using Evolvable Hardware (EHW). SOC is a key factor in the management of battery and its estimation is an important and challenging task. We combine EHW and evolutionary algorithm to design a system, which is 16-row and 4-layer with three inputs (voltage, magnification, charge-discharge mode) and one output (estimated SOC). The evolutionary algorithm is used to train the chromosome structure after setting by EHW. The results show that it can obtain battery SOC around the experimental curve after importing a parameter randomly.