Aging Study of In-Use Lithium-Ion Battery Packs to Predict End of Life Using Black Box Model
In order to study the state of health (SOH) of unbalanced battery packs in real life, a thorough analysis is carried out using only data available and standard charging material.
Daniela Chrenko +3 more
doaj +1 more source
Population Health Solutions for Assessing Cognitive Impairment in Geriatric Patients. [PDF]
In December 2017, the National Academy of Neuropsychology convened an interorganizational Summit on Population Health Solutions for Assessing Cognitive Impairment in Geriatric Patients in Denver, Colorado. The Summit brought together representatives of a
Adler, Deb +38 more
core +2 more sources
Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder
ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz +3 more
wiley +1 more source
Fault detection of new and aged lithium-ion battery cells in electric vehicles
In this paper, a novel model-based fault detection in the battery management system of an electric vehicle is proposed. Two adaptive observers are designed to detect state-of-charge faults and voltage sensor faults, considering the impact of battery ...
Sara Sepasiahooyi, Farzaneh Abdollahi
doaj +1 more source
Lithium-Ion Battery Operation, Degradation, and Aging Mechanism in Electric Vehicles: An Overview
Understanding the aging mechanism for lithium-ion batteries (LiBs) is crucial for optimizing the battery operation in real-life applications. This article gives a systematic description of the LiBs aging in real-life electric vehicle (EV) applications ...
Jia Guo +3 more
doaj +1 more source
Novel battery model of an all-electric personal rapid transit vehicle to determine state-of-health through subspace parameter estimation and a Kalman Estimator [PDF]
--The paper describes a real-time adaptive battery model for use in an all-electric Personal Rapid Transit vehicle. Whilst traditionally, circuit-based models for lead-acid batteries centre on the well-known Randles’ model, here the Randles’ model is
Bentley, P +3 more
core +1 more source
Gaussian process regression with automatic relevance determination kernel for calendar aging prediction of lithium-ion batteries [PDF]
Battery calendar aging prediction is of extreme importance for developing durable electric vehicles. This paper derives machine learning-enabled calendar aging prediction for lithium-ion batteries.
Hu, Xiaosong +4 more
core +1 more source
Functional Connectivity Linked to Cognitive Recovery After Minor Stroke
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri +7 more
wiley +1 more source
Accurate simulation of characteristics performance and state of health (SOH) estimation for lithium-ion batteries are critical for battery management systems (BMS) in electric vehicles.
Deyu Fang +7 more
doaj +1 more source
Least costly energy management for series hybrid electric vehicles
Energy management of plug-in Hybrid Electric Vehicles (HEVs) has different challenges from non-plug-in HEVs, due to bigger batteries and grid recharging.
Formentin, Simone +2 more
core +1 more source

