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Battery management system has a very extensive application field. This paper introduces an online system which is available for monitoring electric current, voltage and temperature of power battery group simultaneously. This system adopts the microcontroller and PC as the main controllers, collects the information like voltage, current and temperature of the battery with battery information collection...
In order to allow the robot to automatically grab the front sealing rings, in this paper, a recognition and grabbing system of sealing rings based on machine vision is presented. Machine vision technologies are first utilized to help locate the sealing rings and also determine their orientations, an industrial robot is then utilized to accomplish the grabbing of them. The whole system consists of...
Batteries have been widely used in the field of electric vehicles. So prediction of the state of health (SOH) is important to the safe and efficient use of them. In this study, SOH is estimated by the generalized regression neural network (GRNN). GRNN is established by the radial basis neurons and linear neurons. The network has the advantages of approximation ability and the learning speed. In this...
With the wide application of batteries, the battery state of health (SOH) is increasingly concerned by people. The battery SOH reflects its ability to store charge and plays a key role in electric power systems. This paper proposes an adaptive neural fuzzy inference system (ANFIS) based method to estimate the battery SOH. The main steps of the proposed method include model creating, model training...
Accurate estimation of the State of Charge (SOC) of the battery is one of the key problems to the battery management system. The SOC should be obtained indirectly according to some algorithms under a mathematical model, along with some measurable quantities. A Sigma Point Kalman Filter based battery model parameters estimation method is proposed. The parameters can be estimated accurately while efficiently...
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