Results 31 to 40 of about 18,774 (193)
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong +13 more
wiley +1 more source
Statistical Inference in the Duffing System with the Unscented Kalman Filter [PDF]
We investigate the accuracy of inference in a chaotic dynamical sys- tem (Duffing oscillator) with the Unscented Kalman Filter, and quantify the dependence on the sample size, the signal to noise ratio and the ...
Husmeier, Dirk +3 more
core
Identification of weakly coupled multiphysics problems. Application to the inverse problem of electrocardiography [PDF]
This work addresses the inverse problem of electrocardiography from a new perspective, by combining electrical and mechanical measurements. Our strategy relies on the defini-tion of a model of the electromechanical contraction which is registered on ECG ...
Corrado, Cesare +2 more
core +5 more sources
SOC estimation is performed using a newly developed online HFF‐GRU method. Improves charge balancing among battery cells, leading to a substantial increase in the battery pack's lifespan. ABSTRACT Accurate estimation of state of charge (SoC) and maintaining balanced charge levels across secondary battery cells are crucial in battery management systems (
Md Ohirul Qays +4 more
wiley +1 more source
Modified state prediction algorithm based on UKF
The state prediction based on the unscented Kalman filter (UKF) for nonlinear stochastic discrete-time systems with linear measurement equation is investigated. Predicting future states by using the information of available measurements is an effective method to solve time delay problems.
Zhen Luo, Huajing Fang
openaire +1 more source
Accurate State of Charge Estimation in Lithium‐Ion Batteries by Second‐Order Sliding Mode Observer
A finite‐time second‐order sliding mode observer (SO‐SMO) is proposed for accurate and robust state‐of‐charge estimation in lithium‐ion batteries, achieving fast convergence, chattering elimination, and superior estimation accuracy compared to conventional methods, making it ideal for real‐time battery management applications in electric and hybrid ...
Mohammad Asadi +5 more
wiley +1 more source
The Contemporary Postmodern Family and the Division of Work Inside the Family [PDF]
In accordance with changes in social conditions, family life experiences its own development and as a result of it, the traditional family changed into the modern family and then to the postmodern family.
Eleonóra Mendelová
doaj +1 more source
Sparsity-Based Kalman Filters for Data Assimilation [PDF]
Several variations of the Kalman filter algorithm, such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF), are widely used in science and engineering applications.
Kang, Wei, Xu, Liang
core +1 more source
GP-SUM. Gaussian Processes Filtering of non-Gaussian Beliefs
This work studies the problem of stochastic dynamic filtering and state propagation with complex beliefs. The main contribution is GP-SUM, a filtering algorithm tailored to dynamic systems and observation models expressed as Gaussian Processes (GP), and ...
AS Stordal +17 more
core +1 more source
Our open‐source evaluation framework enables rigorous benchmarking of real‐time algorithims. We showcase its functionality through a sodium‐ion battery case study, highlighting key strenghts and limitations for SOC diagnostics. Despite the abundance of battery state estimation algorithms in the BMS literature, their applicability to emerging cell ...
Katharina Lilith Quade +6 more
wiley +1 more source

