Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Review of Aging Mechanism and Diagnostic Methods for Lithium-Ion Batteries
by
Shen, Xiaoling
, Lu, Chenhao
, Xu, Yixiang
, Pei, Lei
, Wang, Tiansi
, Wang, Wanlin
, Wang, Hao
, Li, Huanhuan
in
Aging
/ aging mechanism
/ Analysis
/ Batteries
/ Carbon
/ Control algorithms
/ Decomposition
/ Efficiency
/ Electric fault location
/ Electrodes
/ Electrolytes
/ Energy storage
/ Fermentation
/ Food
/ Food packaging
/ Graphite
/ implementable diagnosis
/ Laboratories
/ laboratory diagnosis
/ Lithium
/ Lithium cells
/ lithium-ion battery
/ Machine learning
/ Methods
/ Reliability (Engineering)
/ standardized diagnosis
2025
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Review of Aging Mechanism and Diagnostic Methods for Lithium-Ion Batteries
by
Shen, Xiaoling
, Lu, Chenhao
, Xu, Yixiang
, Pei, Lei
, Wang, Tiansi
, Wang, Wanlin
, Wang, Hao
, Li, Huanhuan
in
Aging
/ aging mechanism
/ Analysis
/ Batteries
/ Carbon
/ Control algorithms
/ Decomposition
/ Efficiency
/ Electric fault location
/ Electrodes
/ Electrolytes
/ Energy storage
/ Fermentation
/ Food
/ Food packaging
/ Graphite
/ implementable diagnosis
/ Laboratories
/ laboratory diagnosis
/ Lithium
/ Lithium cells
/ lithium-ion battery
/ Machine learning
/ Methods
/ Reliability (Engineering)
/ standardized diagnosis
2025
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Review of Aging Mechanism and Diagnostic Methods for Lithium-Ion Batteries
by
Shen, Xiaoling
, Lu, Chenhao
, Xu, Yixiang
, Pei, Lei
, Wang, Tiansi
, Wang, Wanlin
, Wang, Hao
, Li, Huanhuan
in
Aging
/ aging mechanism
/ Analysis
/ Batteries
/ Carbon
/ Control algorithms
/ Decomposition
/ Efficiency
/ Electric fault location
/ Electrodes
/ Electrolytes
/ Energy storage
/ Fermentation
/ Food
/ Food packaging
/ Graphite
/ implementable diagnosis
/ Laboratories
/ laboratory diagnosis
/ Lithium
/ Lithium cells
/ lithium-ion battery
/ Machine learning
/ Methods
/ Reliability (Engineering)
/ standardized diagnosis
2025
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Review of Aging Mechanism and Diagnostic Methods for Lithium-Ion Batteries
Journal Article
Review of Aging Mechanism and Diagnostic Methods for Lithium-Ion Batteries
2025
Request Book From Autostore
and Choose the Collection Method
Overview
As an important component of current power and energy storage systems, lithium-ion batteries have essential scientific significance and application value in terms of accurately and reliably diagnosing their aging to determine system performance, identify potential faults in modules, and prolong their service life. For this purpose, this paper first briefly describes the working principle of lithium-ion batteries and illustrates the possible impacts of various aging mechanisms on the state of battery capacity. Secondly, starting from both implementable and laboratory perspectives, it sorts out and summarizes the diagnostic mechanisms and applicable scenarios of current typical battery aging state assessment and diagnosis methods. Then, targeting the specific aging mechanisms involved in batteries, it elaborates on the targeted diagnosis processes for each aging mechanism. Finally, combined with implementable and laboratory diagnosis methods, it systematically summarizes a highly standardized and universal routine diagnosis process for battery aging. In addition, in combination with the latest development of aging diagnosis and related technologies, this paper reflects on and discusses the possible future development directions of battery diagnosis technologies.
This website uses cookies to ensure you get the best experience on our website.