Challenges and opportunities toward fast-charging of lithium-ion batteries
Improving the rate capability of lithium-ion batteries is beneficial to the convenience of
electric vehicle application. The high-rate charging, however, leads to lithium inventory loss …
electric vehicle application. The high-rate charging, however, leads to lithium inventory loss …
A comprehensive review of available battery datasets, RUL prediction approaches, and advanced battery management
Battery ensures power solutions for many necessary portable devices such as electric
vehicles, mobiles, and laptops. Owing to the rapid growth of Li-ion battery users, unwanted …
vehicles, mobiles, and laptops. Owing to the rapid growth of Li-ion battery users, unwanted …
Electrochemical modeling and parameterization towards control-oriented management of lithium-ion batteries
Battery management systems based on electrochemical models could achieve more
accurate state estimations and efficient battery controls with access to cell unmeasurable …
accurate state estimations and efficient battery controls with access to cell unmeasurable …
Co-estimation of lithium-ion battery state of charge and state of temperature based on a hybrid electrochemical-thermal-neural-network model
Battery modeling and state estimation are critical to the battery safety and vehicle driving
range. Currently, electrochemical mechanism based models require huge computation effort …
range. Currently, electrochemical mechanism based models require huge computation effort …
Investigating the error sources of the online state of charge estimation methods for lithium-ion batteries in electric vehicles
Sate of charge (SOC) estimation is generally acknowledged as one of the most important
functions in battery management system for lithium-ion batteries in new energy vehicles …
functions in battery management system for lithium-ion batteries in new energy vehicles …
A review on electric vehicle battery modelling: From Lithium-ion toward Lithium–Sulphur
Accurate prediction of range of an electric vehicle (EV) is a significant issue and a key
market qualifier. EV range forecasting can be made practicable through the application of …
market qualifier. EV range forecasting can be made practicable through the application of …
SOH early prediction of Lithium-ion batteries based on voltage interval selection and features fusion
Accurate state of health (SOH) of batteries is a crucial prerequisite for ensuring the safety
and stable operation of electric vehicles. However, existing conventional prediction methods …
and stable operation of electric vehicles. However, existing conventional prediction methods …
Review of simplified Pseudo-two-Dimensional models of lithium-ion batteries
A Jokar, B Rajabloo, M Désilets, M Lacroix - Journal of Power Sources, 2016 - Elsevier
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 …
Physics-informed neural networks for electrode-level state estimation in lithium-ion batteries
An accurate estimation of the internal states of lithium-ion batteries is critical to improving the
reliability and durability of battery systems. Data-driven methods have exhibited enormous …
reliability and durability of battery systems. Data-driven methods have exhibited enormous …
Thermal management technology of power lithium-ion batteries based on the phase transition of materials: a review
K Jiang, G Liao, E Jiaqiang, F Zhang, J Chen… - Journal of Energy …, 2020 - Elsevier
With the rapid development of electric vehicles and hybrid electric vehicles industry, heat
generation problem of vehicles power source has been becoming a challenge which …
generation problem of vehicles power source has been becoming a challenge which …