Search Results - "Meng, Jinhao"
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Lithium Polymer Battery State-of-Charge Estimation Based on Adaptive Unscented Kalman Filter and Support Vector Machine
Published in IEEE transactions on power electronics (01-03-2016)“…An accurate algorithm for lithium polymer battery state-of-charge (SOC) estimation is proposed based on adaptive unscented Kalman filters (AUKF) and…”
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An evolutionary framework for lithium-ion battery state of health estimation
Published in Journal of power sources (01-02-2019)“…Battery energy storage system expands the flexibility of the electricity grid, which facilitates the extensive usage of renewable energies in industrial…”
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An optimized ensemble learning framework for lithium-ion Battery State of Health estimation in energy storage system
Published in Energy (Oxford) (01-09-2020)“…Battery State of Health (SOH) is critical for the reliable operation of the grid-connected battery energy storage systems. During the long-term Lithium-ion…”
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Lithium-Ion Battery Health State Prediction Based on VMD and DBO-SVR
Published in Energies (Basel) (01-05-2023)“…Accurate estimation of the state-of-health (SOH) of lithium-ion batteries is a crucial reference for energy management of battery packs for electric vehicles…”
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Overview of Lithium-Ion Battery Modeling Methods for State-of-Charge Estimation in Electrical Vehicles
Published in Applied sciences (01-05-2018)“…[...]the future trends for next-generation modeling technology are also presented. [...]four typical modeling methods in SOC estimation area including the…”
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Lithium-ion battery state-of-health estimation in electric vehicle using optimized partial charging voltage profiles
Published in Energy (Oxford) (15-10-2019)“…Lithium-ion (Li-ion) batteries have become the dominant choice for powering the Electric Vehicles (EVs). In order to guarantee the safety and reliability of…”
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Guest editorial: Advances in conductive and wireless powering and charging technologies for transportation applications
Published in IET power electronics (01-06-2024)Get full text
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Quantitative proteome analysis revealed metabolic changes in Arthrospira platensis in response to selenium stress
Published in European food research & technology (01-03-2022)“…Due to its high nutritional value and selenium tolerance, selenium-enriched Arthrospira platensis was a promising source for dietary Se supplementation…”
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A Review of Pulsed Current Technique for Lithium-ion Batteries
Published in Energies (Basel) (01-05-2020)“…Lithium-ion (Li-ion) batteries have been competitive in Electric Vehicles (EVs) due to their high energy density and long lifetime. However, there are still…”
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Smart Battery Pack for Electric Vehicles Based on Active Balancing with Wireless Communication Feedback
Published in Energies (Basel) (12-10-2019)“…In this paper, the concept of smart battery pack is introduced. The smart battery pack is based on wireless feedback from individual battery cells and is…”
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A Review of Lithium-Ion Battery Capacity Estimation Methods for Onboard Battery Management Systems: Recent Progress and Perspectives
Published in Batteries (Basel) (01-11-2022)“…With the widespread use of Lithium-ion (Li-ion) batteries in Electric Vehicles (EVs), Hybrid EVs and Renewable Energy Systems (RESs), much attention has been…”
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New One-Dimensional Search Iteration Algorithm and Engineering Application
Published in Shock and vibration (2021)“…In structural optimization design, obtaining the optimal solution of the objective function is the key to optimal design, and one-dimensional search is one of…”
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13
Online Identification of Lithium-ion Battery Model Parameters with Initial Value Uncertainty and Measurement Noise
Published in Chinese journal of mechanical engineering (20-01-2023)“…Online parameter identification is essential for the accuracy of the battery equivalent circuit model (ECM). The traditional recursive least squares (RLS)…”
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An Improved State of Charge and State of Power Estimation Method Based on Genetic Particle Filter for Lithium-ion Batteries
Published in Energies (Basel) (01-01-2020)“…In this paper, an improved method for estimating the state of charge (SOC) of lithium-ion batteries is proposed, which is developed from the particle filter…”
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Lithium-Ion Battery State-of-Charge Estimation Using Electrochemical Model with Sensitive Parameters Adjustment
Published in Batteries (Basel) (01-03-2023)“…State-of-charge (SOC) estimation of lithium-ion (Li-ion) batteries with good accuracy is of critical importance for battery management systems. For the…”
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Operation-Area-Constrained Adaptive Primary Frequency Support Strategy for Electric Vehicle Clusters
Published in Journal of modern power systems and clean energy (01-11-2023)“…Due to their fast response and strong short-term power throughput capacity, electric vehicles (EVs) are promising for providing primary frequency support to…”
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Recent advances in microbial ε-poly-L-lysine fermentation and its diverse applications
Published in Biotechnology for biofuels (16-06-2022)“…Abstract The naturally occurring homo-polyamide biopolymer, ε-poly-L-lysine (ε-PL) consists of 25–35 L-lysine residues with amide linkages between α-carboxyl…”
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Fast Impedance Spectrum Construction for Lithium-Ion Batteries Using a Multi-Density Clustering Algorithm
Published in Batteries (Basel) (01-03-2024)“…Effectively extracting a lithium-ion battery’s impedance is of great importance for various onboard applications, which requires consideration of both the time…”
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State of Health Estimation for Lithium-Ion Battery Based on Sample Transfer Learning under Current Pulse Test
Published in Batteries (Basel) (01-05-2024)“…Considering the diversity of battery data under dynamic test conditions, the stability of battery working data is affected due to the diversity of charge and…”
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Improved LightGBM-Based Framework for Electric Vehicle Lithium-Ion Battery Remaining Useful Life Prediction Using Multi Health Indicators
Published in Symmetry (Basel) (01-08-2022)“…To improve the prediction accuracy and prediction speed of battery remaining useful life (RUL), this paper proposes an improved light gradient boosting machine…”
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