DETECTION OF STATE-OF-CHARGE IN LEAD ACID BATTERY USING RBF-NN

摘要

To realize a stable supply of electric power in an automobile, an accurate and reliable detection method of SOC (state-of-charge) in a lead acid battery is required. However the dynamics of the battery is very complicated. The characteristics of the battery greatly change due to its degradation. Moreover a automobile has many driving patterns, which are unknown beforehand. Thus it is not easy to detect the SOC analytically. In this paper, to overcome this problem, a new SOC detection method with a radial base function neural network is proposed. The detection accuracies for different sized batteries, various degradation states and driving patterns are investigated.