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In this paper, we propose a model-based filtering strategy to reconstruct the maximum power production of a PV power plant thanks to integrating measurements of the PV cell temperature, system DC voltage and DC current. The filter relies on a reversed physical model of the targeted PV system and enables to, first, determine analytically the irradiance incident to the panels, and, second, estimate...
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...
This paper discusses an SOC estimation system for lithium ion batteries based on the extended Kalman filter. The accuracy of the estimation is strongly dependent on accuracy of the battery model. We have newly formulated the equivalent circuit model that covers temperature and SOC dependencies. As the result, the error rate of the estimation has been improved significantly. The experimental results...
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...
Electrical mismatch between modules in a PV array due to partial shading causes energy losses beyond the shaded module. This occurs because unshaded modules are forced to operate away from their maximum power point in order to compensate for the shading. Here we present an irradiance estimation algorithm for use in a mismatch mitigation system. Irradiance is estimated using measurements of module...
In this paper, a sensitivity analysis of Kalman Filter based capacity estimation for electric vehicle batteries is performed. In order to represent different user driving behaviours a random drive cycle data generator is introduced and used in the analysis. An asymmetric equivalent circuit is used for both data generation and estimation. Different aspects and sources of measurement and modeling error...
Estimation of the state of charge (SOC) is a critical parameter for the control of propulsion systems in plug-in hybrid electric vehicles (PHEV) and the electric vehicles (EVs). This paper proposes the SOC estimator of a Lithium-Ion battery using the adaptive extended Kalman filter (EKF). This method uses an optimization algorithm to update the EKF model parameters during a charge period. Accurate...
The needs of good State of Charge (SOC) estimation method for lithium batteries are very high, not only useful for battery protection, preventing under-discharged, controlling the battery management system, and increasing the battery life, but also to increase the useable battery power. To make an SOC estimation method, second order Thevenin dynamic battery model is chosen, where the impedance values...
This paper presents an all-digital battery capacity monitor using calibrated current estimation approach (CCEA). The circuit implementation for state of charge (SOC) and state of health (SOH) estimation methods is also revealed as well. The capacity of the battery is highly correlated with different discharging currents. Due to the variation of the capacity, the accuracy of the SOC and SOH estimated...
LiNi1/3Co1/3Mn1/3O2, well known as the ternary material, is currently considered as one of the promising cathode materials for lithium-ion battery (LIB). In application, accurate estimation for state of charge (SOC) is crucial for the performance and safety use of LIB. However, it is a hard work as the SOC cannot be directly measured and is affected by many factors, such as ambient temperature, current...
For large energy storage in microgrids, vanadium redox flow batteries (VRBs) have received much attention in recent years. VRBs are promising due to the design flexibility, low manufacturing cost for large scale, indefinite lifetime and recyclable electrolytes. VRB modeling is the prerequisite for battery analysis. In previous studies, the effect of temperature on the battery performance is neglected...
State of charge (SOC) is the most important status parameter of energy storage system, which is able to predict the available mileage of electric vehicle. In fact, the accuracy of SOC estimation plays a vital role in the usability and security of the battery. In this paper, we designed an battery characteristic experimental system in which LiFePO4 battery was tested under different conditions. Based...
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...
This paper presents onboard capacity estimation algorithms for Li-ion batteries deployed in plug-in hybrid electric vehicles (PHEV) and electric vehicles (EV). Capacity estimation algorithms are developed based on an equivalent circuit model. The onboard estimation of battery capacity is treated separately for the driving mode and plug-in charge mode. Evaluation results on laboratory collected data...
Management technology for the lithium-ion traction batteries is the key research point for electric vehicles (EV). The states of temperature, current, single voltage, state of charge (SOC) and state of energy (SOE) should be acquired and evaluated timely. This paper has designed a battery state monitor system for the EV batteries based on LabView. Combined with the Extended Kalman Filter (EKF) of...
This paper presents a practical realisation of the function specification inverse algorithm for real time integrated circuit temperature estimation. The algorithm was implemented in a test ASIC as a digital filter, which is capable of estimating heat source temperature values based on measurements taken by remote sensors. The operation of the algorithm is illustrated on simulated data obtained from...
The real time monitoring and control of resistance spot welds is a problem of critical importance in automotive and many other manufacturing industries. However, till this date, there are no reliable, low-cost, non-destructive techniques for predicting the size and strength of the weld nuggets in real time. This paper investigates the usage of voltage, current, and force data for the above tasks....
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