Electric vehicles (EVs) have been growing rapidly in popularity in recent years and have become a future trend. It is an important aspect of user experience to know the Remaining Charging Time (RCT) o...
HOME / Base station battery charging current estimation - VeuwPackaging Eco-Energy Systems
Aug 1, 2025 · In this paper, we propose a novel method for predicting the complete charging curve and estimating the critical states of lithium batteries by utilizing partial sampling data. A
Oct 30, 2023 · Lithium-ion battery state of health estimation is an important task for electric vehicles. However, the uncertainty and complexity of operating condit
Jan 15, 2025 · Abstract Existing state of health (SOH) estimation methods for lithium-ion batteries generally require complete charge-discharge curves or involve complex algorithms and
Dec 1, 2024 · Highlights • A lithium-ion battery aging test platform was built to obtain experimental data sets at different charging rates. • The global and local features of the voltage curve in the
Jan 17, 2022 · Abstract—Base stations have been widely deployed to satisfy the service coverage and explosive demand increase in today''s cellular networks. Their reliabilityand availability
Feb 1, 2024 · The popularity of electric vehicles (EVs) brings environmental benefits, but their hard-to-estimate stochastic charging behaviors places additional di
Oct 22, 2015 · This paper develops an integrated traffic-power control algorithm based on a previously proposed cellular networks study. A real-time battery bank state of char
Jun 15, 2025 · To solve the low accuracy and adaptivity of state of health (SOH) estimation for lithium-ion batteries, a patch learning framework is proposed in this
Aug 11, 2021 · The maximum RCT estimation error of the Tesla Model X can be as high as 60 minutes from a 10 % to 99 % state-of-charge (SOC) while charging at direct current (DC). A
Jan 11, 2025 · Monitoring and accurately predicting battery capacity are critical to the development of advanced intelligent battery management systems (BMS). Data-driven battery
Mar 15, 2025 · Optimal Charging Current Estimation: Building on accurate temperature forecasts, we develop an algorithm that adjusts charging current in real-time, considering ambient
Oct 5, 2021 · Key function of BMS is State of Charge (SoC) estimation. A well-parameterized battery model is required for accurate state estimation. Consequently, the major factors to be
Feb 1, 2025 · This paper explores various feature optimization methods and data-driven models with different structures, and constructs various SOH estimation models suitable for lithium-ion
Feb 13, 2022 · Li-ion battery packs, which are increasingly being utilized in Electric Vehicles (EV), Hybrid Electric Vehicles (HEV), Unmanned Aerial Vehicles (UAV), and smart grid systems,
Feb 1, 2024 · First, the research progresses of physical SOC estimation methods for lithium-ion batteries are thoroughly discussed and corresponding evaluation criteria are carefully
Jan 30, 2024 · Methods: We suggest developing a EVs Charging Finder App, serving as a central platform for EV users to find nearby charging stations. The app will provide vital details,
Nov 20, 2024 · Temperature has a critical impact on the lifespan and safety of lithium batteries. This paper proposes a battery core temperature estimation method based on numerical model
Nov 1, 2024 · BSM also offers benefits such as the use of cleaner energy sources, centralized battery management for extended battery life, and lower charging costs under time-of-use
Oct 15, 2024 · Abstract The accurate lithium-ion battery capacity estimation is vital for ensuring the safe and reliable operation of battery-powered systems. Existing data-driven methods
Jan 11, 2025 · Modeling the battery precisely and estimating its State of Charge with great precision is essential to improve the performance of the lithium-ion batteries.
Sep 15, 2021 · The battery state-of-health (SOH) in a 20 kW/100 kW h energy storage system consisting of retired bus batteries is estimated based on charging voltage
Jul 29, 2024 · Lithium-ion batteries (LIBs) have wide-ranging applications in areas such as electric vehicles and mobile devices. Accurate estimation of the state
Mar 7, 2022 · Abstract— In recent years, there has been a tremendous advancement in battery technology due to the development of EVs and HEVs. But still, the State of Charge (SOC)
May 15, 2025 · A state of health estimation method for lithium-ion batteries based on initial charging segment and Gated Recurrent Unit neural network
Jun 1, 2025 · The estimation of the state of lithium-ion batteries is a critical aspect of battery management systems. However, the accuracy of such estimates deteriorates over time due to
Jan 21, 2024 · Abstract—Determining battery lifetime used in cellular base stations is crucial for mobile operators to maintain availability and quality of service as well as to optimize
Nov 30, 2023 · This paper proposes a novel deep learning framework called multi-timescale dual feature-based state estimation network (MFN) using extremely limited charging data to
Mar 18, 2024 · However, the traditional ICA method to estimate battery capacity mainly focuses on a single charging condition, and the influence of charging current on IC curves is ignored.
2 days ago · Battery state of charge (SOC) estimation is a crucial function of battery management systems (BMSs), since accurate estimated SOC is
Feb 27, 2025 · This paper presents an application of the Ant Colony Optimization (ACO) algorithm combined with the Logistic Regression (LR) method in the lead acid battery charging process.
May 1, 2024 · The battery capacity estimation framework is then implemented using machine learning methods. Validation results demonstrate that the proposed framework achieves
Jan 17, 2022 · Through exploiting the correlations between the battery working conditions and battery statuses, we build up a deep learning based model to estimate the remaining lifetime
Mar 20, 2023 · A classification and aggregation capacity prediction method is developed, combining a battery aging experiment with big data analysis on
Oct 15, 2022 · With online established battery model, model-based estimation method can track battery state-of-charge (SOC) precisely under dynamic conditions. Nevertheless, both
Dec 27, 2024 · Innovative method to precise SOC estimation for lithium-ion batteries under diverse temperature and current conditions
May 1, 2022 · A battery RCT estimation algorithm is developed for EVs considering charging accuracy and charging profile prediction.
Mar 5, 2022 · Performance Analysis of VRLA Battery for DC Load at Telecommunication Base Station Imelda Uli Vistalina Simanjuntak1*), Heryanto2), Yossy Rahmawaty3), and Tulus
May 28, 2022 · The estimating techniques, average error, advantages, and disadvantages are examined methodically and independently in this paper.
Key function of BMS is State of Charge (SoC) estimation. A well-parameterized battery model is required for accurate state estimation. Consequently, the major factors to be considered in battery modeling are the SoC estimation and charging methodology of an effective BMS development.
Abstract: Accurate battery states estimation is critical to the safe and stable operation of Li-ion batteries, and it is one of the fundamental functions of a battery management system (BMS).
Forecasting battery temperature from current and EV cooling to define safe upper temperature current. Predicting fast charging current that does not reach the upper temperature limit. Temperature-related issues can potentially arise from the increased battery temperature during charging because of the high current.
Where ̂ and are the estimated and true values of the remaining charging time, and m represents the total number of the estimations in the whole charging process. The RMSEs of the traditional and proposed methods are 7.6288 and 2.0165 minutes, respectively. In the test, the overall charging accuracy of the charger is 0.748.
After using BatAlloc to allocate suitable numbers of battery groups for base stations, the average battery lifetime has achieved to 4.3 years, roughly 1.8 times longer than that of the original allocation. The results indicate that our framework can also better protect base station batteries and significantly pro-long their average lifetimes.
A real-time battery RCT estimation algorithm is developed for EVs taking into account the charging accuracy and charging profile prediction. An online charging accuracy estimation method is proposed by considering the confidence interval between the historical and real-time charging accuracy data in the CC stage.