Quasi-wireless capacitive energy transfer for the dynamic charging of personal mobility vehicles

2016 ◽  
Author(s):  
C. W. Van Neste ◽  
Arindam Phani ◽  
Richard Hull ◽  
J.E. Hawk ◽  
Thomas Thundat
Keyword(s):  
Energy Transfer ◽  
Personal Mobility ◽  
Dynamic Charging

scholarly journals Personal Mobility With Synchronous Trunk–Knee Passive Exoskeleton: Optimizing Human–Robot Energy Transfer

2022 ◽  
pp. 1-11
Author(s):  
Diego F. Paez-Granados ◽  
Hideki Kadone ◽  
Modar Hassan ◽  
Yang Chen ◽  
Kenji Suzuki
Keyword(s):  
Energy Transfer ◽  
Personal Mobility ◽  
Passive Exoskeleton

A quantitative approach to inner shell losses

1978 ◽  
Vol 36 (1) ◽  
pp. 526-527 ◽  
Author(s):  
R.D. Leapman ◽  
P. Rez ◽  
D.F. Mayers
Keyword(s):  
Energy Transfer ◽  
Cross Section ◽  
Cross Sections ◽  
Accurate Determination ◽  
Background Intensity ◽  
Core Excitation ◽  
Quantitative Basis ◽  
Cross Section Differential ◽  
Bound Electrons

Microanalysis by EELS has been developing rapidly and though the general form of the spectrum is now understood there is a need to put the technique on a more quantitative basis (1,2). Certain aspects important for microanalysis include: (i) accurate determination of the partial cross sections, σx(α,ΔE) for core excitation when scattering lies inside collection angle a and energy range ΔE above the edge, (ii) behavior of the background intensity due to excitation of less strongly bound electrons, necessary for extrapolation beneath the signal of interest, (iii) departures from the simple hydrogenic K-edge seen in L and M losses, effecting σx and complicating microanalysis. Such problems might be approached empirically but here we describe how computation can elucidate the spectrum shape.The inelastic cross section differential with respect to energy transfer E and momentum transfer q for electrons of energy E0 and velocity v can be written as

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