[HTML][HTML] A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles
With electric vehicles (EVs) being widely accepted as a clean technology to solve carbon
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …
emissions in modern transportation, lithium-ion batteries (LIBs) have emerged as the …
[HTML][HTML] A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery
Lithium-ion batteries are used in a wide range of applications including energy storage
systems, electric transportations, and portable electronic devices. Accurately obtaining the …
systems, electric transportations, and portable electronic devices. Accurately obtaining the …
Machine learning pipeline for battery state-of-health estimation
Lithium-ion batteries are ubiquitous in applications ranging from portable electronics to
electric vehicles. Irrespective of the application, reliable real-time estimation of battery state …
electric vehicles. Irrespective of the application, reliable real-time estimation of battery state …
The challenge and opportunity of battery lifetime prediction from field data
Accurate battery life prediction is a critical part of the business case for electric vehicles,
stationary energy storage, and nascent applications such as electric aircraft. Existing …
stationary energy storage, and nascent applications such as electric aircraft. Existing …
Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications
Abstract State-of-health (SOH) monitoring of lithium-ion batteries plays a key role in the
reliable and safe operation of battery systems. Influenced by multiple factors, SOH is an …
reliable and safe operation of battery systems. Influenced by multiple factors, SOH is an …
Data-driven battery state of health estimation based on random partial charging data
The rapid development of battery technology has promoted the deployment of electric
vehicles (EVs). To ensure the healthy and sustainable development of EVs, it is urgent to …
vehicles (EVs). To ensure the healthy and sustainable development of EVs, it is urgent to …
[HTML][HTML] Deep neural network battery charging curve prediction using 30 points collected in 10 min
Accurate degradation monitoring over battery life is indispensable for the safe and durable
operation of battery-powered applications. In this work, we extend conventional capacity …
operation of battery-powered applications. In this work, we extend conventional capacity …
A review on the key issues of the lithium ion battery degradation among the whole life cycle
The lithium ion battery is widely used in electric vehicles (EV). The battery degradation is the
key scientific problem in battery research. The battery aging limits its energy storage and …
key scientific problem in battery research. The battery aging limits its energy storage and …
A review of the state of health for lithium-ion batteries: Research status and suggestions
H Tian, P Qin, K Li, Z Zhao - Journal of Cleaner Production, 2020 - Elsevier
Lithium-ion batteries (LIBs) have become the mainstream power source for battery electric
vehicles (BEVs) with relatively superior performance. However, LIBs experience battery …
vehicles (BEVs) with relatively superior performance. However, LIBs experience battery …
Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries
P Shrivastava, TK Soon, MYIB Idris… - … and Sustainable Energy …, 2019 - Elsevier
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) …