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A novel time series forecasting model for capacity degradation path prediction of lithium-ion battery pack
Monitoring battery health is critical for electric vehicle maintenance and safety. However, existing research has limited focus on predicting...
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Comprehensive testing technology for new energy vehicle power batteries based on improved particle swarm optimization
As the new energy industry continues to progress, the health management of power batteries has become the key to ensuring the performance and safety...
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Development of a Battery Management System for Electric Vehicle’s Batteries Reuse
Electric Vehicles (EV) or Plug-in Electric Vehicles (PHEV) batteries can have a second life in other vehicles, in stationary electrical energy...
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Promotion of practical technology of the thermal management system for cylindrical power battery
Amidst the industrial transformation and upgrade, the new energy vehicle industry is at a crucial juncture. Power batteries, a vital component of new...
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A MDA-LSTM network for remaining useful life estimation of lithium batteries
Remaining useful life (RUL) of energy storage batteries estimation is of great significance to battery failure warning and battery safety. Previous...
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A selective hybrid system for state-of-charge forecasting of lithium–ion batteries
As research in lithium–ion batteries field has extended, the need for better management systems also increases. An important part of them is the...
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A Comparative Study Using Numerical Simulations for Designing an Effective Cooling System for Electric Vehicle Batteries
As technology is advancing rapidly in electric vehicle (EV), numerous automobile industries are focusing on shifting a part of their catalogue or...
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Hybrid Model to Calculate the State of Charge of a Battery
Batteries are one of the most important component in an energy storage system; they are used mainly in electric mobility, consumer electronic and...
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Grey-box modelling of lithium-ion batteries using neural ordinary differential equations
Grey-box modelling combines physical and data-driven models to benefit from their respective advantages. Neural ordinary differential equations...
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SOC Estimation of Ternary Lithium Battery Based on Interpolation Method and Online Parameter Identification
SOC estimation is currently a function of the energy management system for new energy vehicles. Based on the SOC of batteries, the remaining...
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A Comparative Study on Map** Experience of Typical Battery Electric Vehicles Based on Big Data Text Mining Technology
Battery electric vehicles (BEV) are the core innovation of low-carbon travel transformation. However, there are still few evaluation studies on the...
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Comparative Carbon Footprint and Environmental Impacts of LiFePO4 - LiCoxNiyMn(1-x-y)O2 Hybrid Batteries Manufacturing
Although the electrification of the transportation sector is crucial to mitigating climate change and the energy crisis, understanding the carbon...
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Comparative Analysis of Intelligent Techniques for Categorization of the Operational Status of LiFePo4 Batteries
At present, energy storage systems are becoming a key factor for technological development in different fields, such as electric mobility or the...
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b-it-bots: Winners of RoboCup@Work 2023
This paper outlines the approach used by the b-it-bots team to win the 2023 RoboCup@Work World Championship in Bordeaux. We describe the updates in...
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Estimation algorithm research for lithium battery SOC in electric vehicles based on adaptive unscented Kalman filter
The state of charge (SOC) is a significant part of energy management for electric vehicle power battery, which has important influence on the safe...
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Powering Experiments
Experiments that are an essential part of the scientific method must often be mobile, conducted in remote locations or in conditions isolated from...
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A Fault Detection System for Power Cells During Capacity Confirmation Test Through a Global One-Class Classifier
Power cells have presented an increasing popularity during last decades due to its importance in electric mobility, electronic devices and energy...
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Introduction to Robotics: Part I
This chapter covers the following topics:
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Users’ Socio-economic Factors to Choose Electromobility for Future Smart Cities
Recently, governments worldwide have sought solutions on how to lower carbon emissions. One of the more preferable options is the daily use of...
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Power prediction method of lithium-ion battery for unmanned vehicles based on combined constraint intelligence algorithm
For the inaccurate data predicting problem of the actual attainable maximum charge and discharge power of the lithium-ion battery in practice for...
