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Operating CMOS circuits at subthreshold supply voltages is an attractive solution for substantial energy reduction, at the expense of strong timing performance degradation, for a broad range of battery operated appliances. One of the challenges of this approach in current technology nodes is the reduced available noise margin when operating at low supplies. This paper evaluates the Static Noise Margin...
Electric models of battery have to take into account the effect of temperature for the state-of-charge estimation. As a matter of fact, at low temperature the driving range of the vehicle can be overestimated up to more than 20% with electric only models. We propose to couple thermal and electric battery models for improving the range estimation.
Recursive least square (RLS) with a single forgetting factor has been commonly used for parameter and state estimation of dynamical systems. In many applications such as robotics, electric vehicles, renewable energy systems, and smart-grid, accurate battery state of charge (SOC) and state of health (SOH) estimation is essential for the safe and efficient operation. To this end, the challenge lies...
In order to estimate the state of health (SOH) of single cell in the electric vehicle power battery pack, this paper researched on t he properties of battery's polarization resistance and ohmic resistance, and then a relative state of health evaluation method which is based on the ohmic resistance was proposed. This method can avoid absolute interference on the battery performance from external such...
This paper proposed a co-estimation scheme of State of Charge (SOC), State of Health (SOH), and State of Function (SOF) for lithium-ion batteries. The Extended Kalman Filter is adopted to SOC estimation. Battery parameters are identified online by using Recursive Least Square Algorithm to further estimate battery SOH and SOF. The accuracy of the estimation is improved and the computation is reduced...
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...
Battery state of charge (SOC) has to be estimated properly in order to build a good battery management system (BMS) for electric vehicles. A Lithium battery dynamics has nonlinearity element and time varying parameter values. The speed of parameter change is different to each parameter. This paper proposes a new method of SOC estimation based on recursive least square (RLS) algorithm with multiple...
Energy Storage System (ESS), with its fast ramping and bi-direction power flow capabilities, is playing a more vital role in the electric market. However, it still stands on the farther end of economic viability. As a result, a good estimate of battery service life, and therefore revenue, is necessary before the investment is made in any given application. In this paper, a set of improved degradation...
Estimation of the parameters of a transformer ladder network model based on the measured impedance frequency response (IFR) faces major challenges. Nonlinear nature of the system, mutual interaction, frequency dependency of the elements and the number of parameters are those that make the accurate and valid model estimation task involved. In this respect, based on the transformer physical insight,...
In this paper a methodology to predict single-event transient (SET) pulse characteristics is proposed. Analytical models and technology pre-characterization are used to estimate SET pulse-widths for different standard cells. The model uses graph analysis of the cell netlist to identify similar circuit structures for reduced computational complexity for the characterization of standard cells. The error...
Photovoltaic (PV) modeling plays a vital role in the estimation of the expected yield from a PV generation plant. The single diode model of a PV module requires estimation of 5 unknown parameters derived from the equivalent circuit using only the parameters extracted from datasheets as input. These parameters are used to evaluate the current and voltage from the module under varying conditions of...
This paper discusses the commonly used techniques to estimate the state of health (SOH) and state of function (SOF) of lithium ion batteries and their limitations. Factors affecting the health and SOF of the battery are discussed in this paper. The SOH of the battery is mainly represented by the capacity degradation and the increase in the internal resistance. The other indices that could represent...
Batteries are becoming integral part of day to day life with increase in local generation. A more effective battery monitoring and Management techniques are required to maintain the batteries. Impedance based monitoring is becoming a very effective procedure to do the same. Various techniques have been proposed. The Randels model is the most appropriate circuit to explain the phenomenon of the battery...
Li-ion batteries have found an ever-increasing role in automotive, space and marine industries, and safety aspects became a top priority, particularly for large size batteries. Therefore, there has been an increasing need for accurate and reliable monitoring of the battery in real-time. The battery is a dynamic system and its parameters are changing with time. They are also very dependent on the operation...
State-of-charge (SOC) estimation is an important task in a general battery management system (BMS). As a value that cannot be measured directly, the SOC is usually indicated by a method based on the characteristics of the battery with the voltage, current and temperature. In this paper, an extended Kalman filter (EKF) algorithm has been introduced to estimate SOC. A circuit model of a LiFePO4/C battery...
This paper presents the estimation method of solar irradiance in W/m2 based on the short circuit current output produce by the photovoltaic module. The proposed solar irradiance estimation method is derived using photovoltaic mathematical model. Therefore, photovoltaic module modeling is required to develop the proposed estimation method. The modeling includes the identification of photovoltaic module...
This paper describes a current sharing technique for digitally controlled multiphase buck DC-DC converters. The effective duty cycle mismatches and resistance mismatches are digitally compensated to achieve equal current sharing without sensing currents. Effects of various non-idealities on the current sharing performance are discussed. Experimental results are shown for a four-phase synchronous buck...
This paper deals with the detection and estimation of fault parameter in nonlinear systems. Our main contribution in this work consists in the synthesis of a flat moving horizon estimator for a supervision industrial process. The effectiveness of the proposed method is shown through the supervise of a series DC motor. The obtained results are very satisfactory in terms of detection rapidity and precision...
In this paper, an effective approach for estimating the operating temperature of a photovoltaic (PV) module is presented. The developed method is simple and does not need any additional hardware. The proposed approach uses an analytical formula to derive the temperature from the maximum power point (MPP) voltage and current. The effectiveness of the new method is investigated through some conducted...
The paper mainly described how to estimate the state of battery charge (SOC) on electric vehicle (EV). Having deeply researched the lithium-ion (LiFePO4) battery characteristic, the paper established a kind of new battery equivalent circuit model. Meanwhile the paper improved the traditional EKF SOC estimate algorithm, including add the battery internal resistance as a new state variable, real time...
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