Battery State-of-Charge Estimation with Extended Kalman-Filter using Third-Order Thevenin Model

Lithium-ion battery has become the mainstream energy storage element of the electric vehicle. One of the challenges in electric vehicle development is the state-of-charge estimation of battery. Accurate estimation of state-of-charge is vital to indicate the remaining capacity of the battery and it will eventually maximize the battery performance and ensures the safe operation of the battery. This paper studied on the application of extended Kalman-filter and third order Thevenin equivalent circuit model in state-of-charge estimation of lithium ferro phosphate battery. Random test and pulse discharge test are conducted to obtain the accurate battery model. The simulation and experimental results are compared to validate the proposed state-of-charge estimation method

Cancellation of common mode voltage in current source buck rectifier

AC/AC power conversion is widely used to feed AC loads with variable voltage and/or variable frequency from a constant voltage constant frequency power grid or to connect critical loads to an unreliable power supply while delivering a very accurate sinusoidal and balanced voltage system of constant amplitude and frequency. The load specifications will clearly impose the requirements for the inverter stage of the power converter, while a wider range of choices are available for the rectifier. This research investigates the utilization of a buck-type current source rectifier as an active front-end stage of an AC/AC converter for applications that require adjustable DC-link voltage and where elimination of the low-frequency common mode voltage is vital.EThOS - Electronic Theses Online ServiceGBUnited Kingdo