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We have previously proposed a novel parameter identification method for the Li-ion battery equivalent circuit model (ECM) considering the electrochemical properties, with which a second order ECM resistances/capacitances values can be obtained from electrochemical parameters. In this paper, we apply this physics-based ECM with Kalman filter for cell SOC estimation. To implement the Kalman filter to...
For saving energy, lead acid battery plays an important role in photovoltaic system. Battery state of charge estimation is a key function of battery management system due to the requirement of ensuring optimum operation and safety. Therefore, for achieving a fiable operation, it is necessary to develop an accurate model for the estimation of the state of charge (SOC) of battery. In this paper, a RC...
To avoid battery failure and keep the battery lifetime, a system needs control its use by considering two of several parameters of Battery Management System (BMS) such as State of Charge (SOH) and State of Health (SOH). The State of Charge in Battery Management System provides the percentage of battery capacity, while the State Of Health measures the battery health. The Thevenin battery model is used...
In this research is developed and implemented in MATLAB simulation environment two real-time estimators, such as an Unscented Kalman Filter (UKF) and a sliding mode observer (SMO). The intent is to use these estimators to estimate the state-of-charge (SOC) of a generic nickel — metal hydride (Ni-MH) battery integrated in the battery management system (BMS) structure of hybrid electric vehicles (HEVs)...
The change rate of terminal voltage of a LiFePO4 battery is too small to be used to estimate state of charge (SOC) during discharging when the battery is within 10-80% SOC. A coulombic counting SOC estimation (Ah) method has the disadvantages of accumulated error and start point error. Therefore, in this paper the Extended Kalman filter (EKF) is used. The estimation accuracy of EKF deeply depends...
The open-circuit voltage (OCV) forms the basis for many real-time state-of-charge (SOC) estimation algorithms. The OCV-SOC relationship for most battery chemistries often provides a good estimate for SOC. However, for the lithium-ion iron phosphate (LiFePO4) variation of the lithium-ion cell chemistry, the OCV curve is fairly flat over the operational SOC range. Thus, even the smallest error in the...
Accurate State-of-Charge (SOC) estimation of Li-ion batteries is essential for effective battery control and energy management of electric and hybrid electric vehicles. To this end, first, the battery is modelled by an OCV-R-RC equivalent circuit. Then, a dual Bayesian estimation scheme is developed—The battery model parameters are identified online and fed to the SOC estimator, the output of which...
This paper proposes a method of accurately estimating the state of charge (SOC) of lithium-ion rechargeable batteries in high fuel efficiency vehicles, such as hybrid electric vehicles (HEVs) and electric vehicles (EVs). Although it is important to accurately estimate SOC of the battery to maximize efficiency and safety, there exist many problems for conventional methods. To address this issue, a...
In this paper, a novel fault detection and isolation filter design method for power distribution in DC electronic system is proposed. The proposed double filter method is a combination of quadratic programming (QP) and Kalman filter which has three main advantages: first, it could estimate the fault position accurately under non-white noise. Second, this is a sequential method which could be used...
To gain the absolute vehicle speed is the key issue in Anti-lock Braking System (ABS). A Kalman filter based on Field Programmable Gate Array (FPGA) for vehicle speed estimation is presented in the paper. Firstly, the mathematic model of eight degree of freedom is given under the combined slip condition, and then Kalman filter is obtained by the usage of DSP Builder of MATLAB/Simulink. An implementation...
In this paper, we focus on the security issue of a chaotic digital communication scheme called chaotic-pulse- position modulation. We design a third party intrusion scheme to test to see if CPPM is as secure as is claimed. Experiments are conducted with various chaotic maps, where CPPM is used to modulate the message at the transmitter and a Kalman filter fed with a polynomial approximation is used...
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