Battery current and voltage control system design with charging application

Pavković, Danijel; Lobrović, Mihael; Hrgetić, Mario; Komljenović, Ante; Smetko, Viktor

doi:10.1109/cca.2014.6981481

Cited by 25 publications

(20 citation statements)

References 16 publications

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“…As indicated in Subsection III.B, this has an additional benefit of improving the robustness of the battery current control loop, especially in the presence of battery internal resistance R b variations (cf. [18]). …”

Section: B Resultsmentioning

confidence: 93%

“…Since battery electromotive force E b and capacitance voltage u c are typically slowly varying with the state-of-charge, they may be regarded as quasi-steady-state disturbances from the standpoint of current control system design [18]. Hence, the main current dynamics are primarily determined by the following equivalent first-order lag term: where L c is the inductor inductance and R tot is the overall series resistance comprising inductor resistance and battery or ultracapacitor series resistance (cf.…”

Section: Battery and Ultracapacitor Modelsmentioning

confidence: 99%

“…By equating the coefficients of the closed-loop transfer function (12) denominator with the coefficients of the third-order damping optimum polynomial, and rearranging, the following expressions for the PI controller parameters are obtained [18]:…”

Section: B Battery/ultracapacitor Current Controller Tuningmentioning

confidence: 99%

See 2 more Smart Citations

A design of DC bus control system for EVs based on battery/ultracapacitor hybrid energy storage

Pavković

Lobrović

Hrgetić

et al. 2014

2014 IEEE International Electric Vehicle Conference (IEVC)

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This paper presents the design of a control system suitable for EV DC bus voltage sag compensation based on the voltage PI controller and load current feedforward compensator. The superimposed PI controller and feedforward compensator references are distributed between the inner battery and ultracapacitor current-controlled DC/DC converters so that the ultracapacitor takes on the highly-dynamic (transient) current demands, while the battery covers for steady-state loads. In order to avoid deep discharges of the ultracapacitor, the DC bus control system is also equipped with auxiliary state-of-charge (SoC) controller. The functionality of the superimposed DC bus voltage control system and inner current and SoC control loops has been verified by means of simulations and experimentally on a downscaled battery/ultracapacitor experimental (HIL) setup.

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Section: B Resultsmentioning

confidence: 93%

Section: Battery and Ultracapacitor Modelsmentioning

confidence: 99%

See 1 more Smart Citation

A design of DC bus control system for EVs based on battery/ultracapacitor hybrid energy storage

Pavković

Lobrović

Hrgetić

et al. 2014

2014 IEEE International Electric Vehicle Conference (IEVC)

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“…The corresponding Wattage and VA drawn from SUT are also shown. Under both conditions, the in phase power (kW) drawn by the emulator is converted and stored in to battery bank using a suitable SPFS converter [15][16]. The energy stored in to the battery is shown in figure 8.…”

Section: A Results and Discussionmentioning

confidence: 99%

Regenerative load emulator with battery charging for evaluation of energy management in microgrid with distributed renewable sources

Vijay¹,

Kini

Viswanatha³

et al. 2015

2015 Modern Electric Power Systems (MEPS)

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Load emulation is the technique by which, different types of load characteristics can be realized without using the actual load modules. This is very useful for testing of power supply equipment under various load conditions. Further the technique of load emulation can be applied for micro grid design and power flow studies under various load conditions. A battery charger based regenerative load emulation technique is explained here which can be applied for emulated micro grids. The design is done in such a way that the system can emulate pure resistive, inductive and capacitive loads and regenerate the in phase power to store in battery. The stored energy can be further inverted and supplied back to the grid, thereby making the system regenerative in nature. The simulation results for the proposed load emulation technique, along with the application of the same in micro grids are presented in detail. The results show the required emulator waveforms and energy stored in to the battery. Keywords-load emulation; energy regeneration; micro grid design; battery charging; energy management978-1-5090-3101-6/15/$31.00 ©2015 IEEE

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“…For the case of single-dimensional signals, such as the angle measurement, scalar Kalman filter may be convenient since it provides an optimal estimate of the state variable under assumption that measurement noise variance and state variable perturbations are known in advance [11]. The scalar KF is the special case of the more general matrix wherein, wherein the model parameters and measurements are scalar-valued [12,13]. The filter operates by interchanging two characteristic phases: "predict" and "update".…”

Section: Discrete-time Scalar Kalman Filtermentioning

confidence: 99%

On-line Inertia Measurement of Unmanned Aerial Vehicles using on board Sensors and Bifilar Pendulum

Krznar¹,

Kotarski²,

Piljek³

et al. 2018

Interdiscip. Descr. Complex Syst.

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Identification of a dynamical model and its parameters is one of the fundamental problems in the field of robotics and system dynamics modelling. For the general situation of an object motion with six degrees of freedom (6-DOF), such as in the case of the Unmanned Aerial Vehicle (UAV), the key physical parameters are vehicle mass and moment of inertia. Even though UAV mass and its geometry/topology are easily obtainable, it is difficult to identify the inertia tensor considering that it is not measurable by static tests. This article presents a simple and effective method for on-line estimation of a rigid-body inertia based on a two-wire pendulum and an on-board integrated sensor system. Herein, the test subject (i.e. UAV) is suspended by two thin parallel wires in such a way to form a bifilar torsional pendulum about the vertical axis. Using on-board sensors from the UAV flight controller (FC) unit, the pendulum oscillations are recorded and processed in order to obtain trendfree and noise-free signals used in the final inertia estimation phase. The proposed identification algorithm is verified experimentally for two typical cases of suspended objects related to the UAV control box and a full UAV configuration.

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Battery current and voltage control system design with charging application

Cited by 25 publications

References 16 publications

A design of DC bus control system for EVs based on battery/ultracapacitor hybrid energy storage

A design of DC bus control system for EVs based on battery/ultracapacitor hybrid energy storage

Regenerative load emulator with battery charging for evaluation of energy management in microgrid with distributed renewable sources

On-line Inertia Measurement of Unmanned Aerial Vehicles using on board Sensors and Bifilar Pendulum

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