Results 161 to 170 of about 1,409 (266)
Development of a solar-integrated energy management system for grid-to-vehicle and vehicle-to-grid power exchange. [PDF]
Rao NVK, Krishna KB.
europepmc +1 more source
Interfacial charge transfer and low‐resistance interphase formation between PEO‐based polymer and Li10GeP2S12 solid electrolytes are investigated using multi‐electrode impedance spectroscopy and advanced analytical techniques such as XPS and ToF‐SIMS.
Ujjawal Sigar +6 more
wiley +1 more source
A microgrid deployment framework to support drayage electrification. [PDF]
Lucero JNE +4 more
europepmc +1 more source
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 +5 more
wiley +1 more source
Can New Chemistry Make EVs That Charge in 5 min or Less? [PDF]
Lemonick S.
europepmc +1 more source
Super Charger with Paper Battery
openaire +1 more source
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 +3 more
wiley +1 more source
A hybrid framework for notebook market analysis: Integrating social media sentiment mining with expert knowledge for feature prioritization. [PDF]
Maghsoudi M, Bakhtiari M, Bakhtiari H.
europepmc +1 more source
Phase Diagrams Enable Solid‐State Battery Design
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
Deep learning predicts real-world electric vehicle direct current charging profiles and durations. [PDF]
Li S +4 more
europepmc +1 more source

