Results 151 to 160 of about 182,605 (266)

A case study to compare the methods of SOC estimation for lithium-ion batteries using second-order RC circuit model. [PDF]

Sci Rep
Xu HY, Wang JL, Wang WW.
europepmc   +1 more source

Using a Zero‐Strain Reference Electrode to Distinguish Anode and Cathode Volume Changes in a Solid‐State Battery

Advanced Materials Interfaces, EarlyView.
Volume changes of a solid‐state battery cell are separated into the individual contributions of anode and cathode. Simultaneously determining the “reaction volumes” of both electrodes requires a reference electrode with a pressure‐independent potential.
Mervyn Soans, Benedikt Huber, Marcel Drüschler, Dominic Bresser, Alberto Varzi, Christoffer Karlsson   +5 more
wiley   +1 more source

An integrated method for state of charge estimation, lifetime prediction, and reliability assessment of Lithium-ion batteries under thermal and dynamic conditions. [PDF]

PLoS One
Mobasheri P, Aranizadeh A, Vahidi B.
europepmc   +1 more source

Design of High‐Energy Anode for All‐Solid‐State Lithium Batteries–A Model with Borohydride‐Based Electrolytes

Advanced Materials Interfaces, EarlyView.
This study proposes a function‐sharing anode design to enable nonmetallic lithium insertion while maintaining intimate interfacial contact with the solid‐state electrolyte. A combination of lithium‐compatible and conformable borohydrides, highly conformable indium metal, less‐graphitized acetylene black, and a layer of highly graphitized massive ...
Keita Kurigami, Akihiro Ishii, Itaru Oikawa, Hitoshi Takamura   +3 more
wiley   +1 more source

Phase Diagrams Enable Solid‐State Battery Design

Advanced Materials Interfaces, EarlyView.
Batteries are non‐equilibrium devices with inherent thermodynamic driving forces to react at interfaces, regardless of kinetics or operating conditions. Chemical potential mismatches across interfaces are dissipated via interfacial reactions. In this work, it is illustrated how phase diagrams and chemical potential maps predict degradation pathways but
Nathaniel L. Skeele, Matthias T. Agne
wiley   +1 more source

Machine learning-driven time series analysis for SOH prediction of lithium-ion batteries. [PDF]

Sci Rep
Zhang Y, Bi X, Wang S, Tao B.
europepmc   +1 more source

Tailor‐Made Protective LixAlSy Layer for Lithium Anodes to Enhance the Stability of Solid‐State Lithium–Sulfur Batteries

Advanced Materials Interfaces, EarlyView.
An intentionally added, chemically formed LixAlSy coating stabilizes the lithium–electrolyte interface in solid‐state Li–S batteries. The layer suppresses side reactions, preserves smooth charge transfer, and improves ion transport from the start. This approach offers a practical route to more durable solid‐state batteries and a clearer understanding ...
Xinyi Wang, Katja Kretschmer, Sharif Haidar, Georg Garnweitner, Daniel Schröder   +4 more
wiley   +1 more source

Adaptive cruise control for electric vehicles using hybrid-mode MPC. [PDF]

Sci Rep
Sharkawy AE, Ali AM, Asfoor MS, Yacoub MI.   +3 more
europepmc   +1 more source

Conductive Additives for Next‐Generation Batteries: Emphasizing the Potential of Bio‐Derived 3D Carbon Architectures at Electrode–Electrolyte Interfaces

Advanced Materials Interfaces, EarlyView.
3D conductive frameworks can maintain continuous electron transport, mechanical stability, and interfacial integrity, helping next‐generation batteries operate more efficiently. This Review examines their relevance to Si anodes, all‐solid‐state batteries, and dry‐processed electrodes, and highlights bio‐derived carbons as sustainable, structurally ...
SeoYoung Ha, Inseo Ko, Jongyoung Choi, Weon Ho Shin, Sung Cik Mun, Jong Ho Won   +5 more
wiley   +1 more source

Design optimization of battery enclosures under nonlinear impact loading using a K-Kriging hybrid surrogate model. [PDF]

Sci Rep
Li H, Chen F, Wan C.
europepmc   +1 more source