Designing and deployment of state-of-the-art electric vehicles (EVs) in terms of low cost and
high driving range with appropriate reliability and security are identified as the key towards …

Batteries are prevalent energy providers for modern systems. They can also be regarded as
storage units for renewable and sustainable energy. Failures of batteries can bring huge …

The whole-life-cycle state of charge (SOC) prediction plays a significant role in various
applications of lithium-ion batteries, but with great difficulties due to their internal capacity …

Accurate prediction of remaining useful life (RUL) is of critical significance to the safety and
reliability of lithium-ion batteries, which can offer efficient early warning signals for failure …

Previous machine learning models for state-of-health (SOH) estimation of Li-ion batteries
have relied on prescribed statistical features. However, there is little theoretical …

Accurate lithium battery diagnosis and prognosis are critical to increase penetration of
electric vehicles and grid-tied storage systems. They are both complex due to the intricate …

Reducing the time and cost associated with lithium-ion (Li-ion) battery qualification tests is
critical to develo** electronic devices and establishing their quality assurance policies. In …

The development of data driven methods for Li-ion battery diagnosis and prognosis is a
growing field of research for the battery community. A big limitation is usually the size of the …

While lithium batteries provide high efficiency and low cost, accurately predicting the cycle
life of batteries under different charging protocols remains a challenge. The usage of …

This paper presents a study on Lithium-ion battery aging behaviors/patterns and related
State-of-Health (SOH) indicators before presenting the development of data-driven based …