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Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries
Carbon impression and the growing reliance on fossil fuels are two unique concerns for
world emission regulatory agencies. These issues have placed electric vehicles (EVs) …
world emission regulatory agencies. These issues have placed electric vehicles (EVs) …
Thermal issues about Li-ion batteries and recent progress in battery thermal management systems: A review
Electrical vehicles have the capability to lessen the severe threats of energy crisis and
environment pollution. The Lithium ion battery as a promising solution for the energy storage …
environment pollution. The Lithium ion battery as a promising solution for the energy storage …
Review of simplified Pseudo-two-Dimensional models of lithium-ion batteries
Over the last decade, many efforts have been deployed to develop models for the prediction,
the control, the optimization and the parameter estimation of Lithium-ion (Li-ion) batteries. It …
the control, the optimization and the parameter estimation of Lithium-ion (Li-ion) batteries. It …
Predicting the state of charge and health of batteries using data-driven machine learning
Abstract Machine learning is a specific application of artificial intelligence that allows
computers to learn and improve from data and experience via sets of algorithms, without the …
computers to learn and improve from data and experience via sets of algorithms, without the …
Battery energy storage models for optimal control
As batteries become more prevalent in grid energy storage applications, the controllers that
decide when to charge and discharge become critical to maximizing their utilization …
decide when to charge and discharge become critical to maximizing their utilization …
Towards rational mechanical design of inorganic solid electrolytes for all-solid-state lithium ion batteries
All-solid-state lithium ion batteries are being actively considered as promising candidates for
next-generation energy storage applications. Compared with conventional lithium ion …
next-generation energy storage applications. Compared with conventional lithium ion …
Li-ion cell operation at low temperatures
Substantially reduced energy and power capabilities of lithium-ion cell operating at low
temperatures pose a technical barrier for market penetration of hybrid electric vehicles and …
temperatures pose a technical barrier for market penetration of hybrid electric vehicles and …
Lionsimba: a matlab framework based on a finite volume model suitable for li-ion battery design, simulation, and control
Consumer electronics, wearable and personal health devices, power networks, microgrids,
and hybrid electric vehicles (HEVs) are some of the many applications of lithium-ion …
and hybrid electric vehicles (HEVs) are some of the many applications of lithium-ion …
Mathematical modelling of electrochemical, thermal and degradation processes in lithium-ion cells—A comprehensive review
The demand for electrochemical energy storage devices is rising rapidly as the world shifts
its energy dependence from fossil fuels to renewable sources. In the last few decades, this …
its energy dependence from fossil fuels to renewable sources. In the last few decades, this …
Development of the all‐vanadium redox flow battery for energy storage: a review of technological, financial and policy aspects
The commercial development and current economic incentives associated with energy
storage using redox flow batteries (RFBs) are summarised. The analysis is focused on the …
storage using redox flow batteries (RFBs) are summarised. The analysis is focused on the …