The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
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...
Power battery is the heart of electric vehicles, and the accurate state of charge (SOC) estimation is crucial for the management of the power battery. This paper proposes an adaptive strong tracking unscented Kalman filter (ASTUKF) algorithm to estimate the SOC of lithium-ion battery. This method doesn't need to compute the Jacobian matrix compared with the traditional strong tracking filter. This...
Model-based condition monitoring for lithium-ion (Li-ion) batteries involves estimating physical model parameters and operational states such state of charge (SOC) and state of health (SOH), and is crucial for building high-performance and safety-critical battery systems. This paper proposes a real-time model-based condition monitoring algorithm based on a second-order RC electrical circuit battery...
This study presents a sensorless static model based with output current estimation method for digital PWM control dc-dc converters. The static model is a feedforward type control method adopted in coordination with the standard PID control and it can improve characteristics of wide input and output range of dc-dc converter by using information of output current. The one of the drawbacks of the static...
In order to estimate the accurate and real-time dynamic battery state of charge (SOC), owing to greater errors of extended Kalman filter (EKF) in estimating SOC, a method has been proposed to estimate the battery SOC based on LM-ICDKF algorithm. By using the two order RC equivalent circuit model, the MATLAB simulation tools are used to simulate the algorithm, this paper compares LM-ICDKF algorithm...
Lithium Iron Phosphate (LiFePO4) batteries have obtained extensive interests for the high energy density, little contamination, and ready availability. To enhance the compatibility of the batteries in electrical systems, the accurate estimation of the state of charge (SOC) is remarkably significant. Conventionally, Kalman filter algorithm and its derivations can be utilized for SOC estimation. To...
State-of-charge (SOC) estimation methods based on battery model rely heavily on the accuracy of model parameters. And these parameters could vary with environment and the types of batteries. Online battery modeling methods can improve the robustness of SOC estimation algorithms through updating model constantly with real-time data. These methods have far more profound significance on algorithm adaptability...
State of charge is a significant indicator with respect to the remaining capacity for the lithium-ion battery. Nonetheless, strong nonlinearity and time-varying attributes resulting from the complicated electrochemical reactions incur the tremendous difficulty to acquire the accurate state directly. To address the above problems, a novel estimation method based on unscented Kalman filter and dual-filters...
Precise Estimation of battery state of power (SoP) is crucial for designing the energy management strategy of power system in electric vehicles (EVs) and hybrid electric vehicles (HEVs). In this paper, a novel online model-based estimation algorithm of SoP is proposed for the lithium-ion battery considering the monotonicity of output power and the influence of battery state of health (SoH). Genetic...
Estimation State-of-Charge (SOC) of Lithium-ion batteries is a main function of battery management system (BMS), which play critical roles in the application of batteries. The applications in electrical vehicles and consumer electronics require a time efficient algorithm to produce accurate SOC estimation. Extended Kalman filter (EKF) is widely used in state estimation because it provides a simple...
In this paper, a hierarchical motion estimation (ME) algorithm is proposed for motion-compensated frame interpolation. The algorithm estimates the true motion vector field (MVF) of a video frame from its candidate MVFs, which are the results of full-search block-matching that utilizes multiple block sizes, by maximizing the posterior probability for the true MVF. Owing to probabilistic models utilized...
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...
This paper aims toward joining the ideas of OBT (oscillation-based testing) and DFT (design for testability). It gives insight into an optimization process that provides testability if one chooses to use the OBT. The optimization procedure is exemplified on a timer device NE555. Utilization of a timer circuit allows avoidance of a specific design of the feed-back loop. The optimization procedure is...
A new power estimation approach based on the decomposition of a digital system into basic operators is presented. This approach aims to estimate the energy consumption at early design phases of digital blocks implemented on FPGAs. Each operator has its own model which estimates the switching activity and the power consumption. By interconnecting several operators, statistical information is then propagated...
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.
This paper describes a new methodology of construction of the internal activity block of an ICEM-CE model of an FPGA based on a predictive approach using the estimation tools of the dynamic power and the static timing proposed by the manufacturer of the integrated circuit.
In this paper, system identification is carried out for a 20 kWh battery using real-world measurements data. State-of-charge (SOC) and the open-circuit voltage (Voc) relationship will be obtained using least square estimation (LSE) non-linear regression. In addition, how to estimate SOC using current measurements and how to estimate the equivalent circuit's RC parameters are carried out using autoregressive...
Early power modeling and analysis using electronic system-level methodology enables designers to explore energy saving opportunities more efficiently at a higher abstraction level. However, power modeling for third party IPs are challenging due to the limited observability and unknown architecture details. To model the data dependency for blackbox IPs, several works rely on adopting Hamming distance...
Susceptibility of modern ICs to radiation-induced faults constitutes a matter of great concern in the recent years. Particularly, the transient faults and their impact on the combinational logic remain an intriguing issue, since the evaluation of their behavior is quite significant, especially for critical systems, for the development of error-resistant techniques in design process. For an accurate...
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...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.