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Advanced EIS techniques for battery power management
Bo Chen
, Sara Kohtz
,
Pingfeng Wang
Industrial and Enterprise Systems Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
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Conference contribution
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Keyphrases
State of Charge
100%
Spectroscopic Techniques
100%
Health Status
100%
Electrochemical Impedance Spectroscopy
100%
Battery Management
100%
Operating Conditions
50%
Correlation Analysis
50%
Nyquist Plot
50%
Health Diagnosis
50%
State of Charge Estimation
50%
Accurate Estimation
25%
Strong Correlation
25%
Lithium-ion Battery
25%
Battery Cell
25%
Power System
25%
Cycle Lifetime
25%
Impedance Value
25%
Impedance Spectroscopy
25%
Impedance Measurement
25%
Capacity Fade
25%
High Energy Density
25%
Battery Cycling
25%
Accelerated Aging Test
25%
Fault Diagnosis
25%
Charging Level
25%
Mid-frequency
25%
Mobile Power
25%
Recurrent Neural Network
25%
Lithium-ion Battery Cell
25%
Capacity Drop
25%
Automotive Power
25%
Low Self-discharge
25%
Engineering
State of Charge
100%
Battery Power
100%
State of Health
100%
Power Management
100%
Lithium-Ion Batteries
33%
Nyquist Plot
33%
Power Engineering
16%
Automotives
16%
Discharge Rate
16%
Electrical Impedance
16%
Input Data
16%
Fault Diagnosis
16%
Flux Density
16%
Recurrent Neural Network
16%
Chemical Engineering
Recurrent Neural Network
100%