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State-of-health estimation using a neural network trained on vehicle data
Jacob C. Hamar
, Simon V. Erhard
, Angelo Canesso
, Jonas Kohlschmidt
, Nicolas Olivain
,
Andreas Jossen
Chair of Electrical Energy Storage Technology
Innovations
Technical University of Munich
Research output
:
Contribution to journal
›
Article
›
peer-review
18
Scopus citations
Overview
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Keyphrases
Neural Network
100%
Aging
100%
Vehicle Data
100%
Health Diagnosis
100%
Highly Accurate
50%
Neural Network Model
50%
Temperature Effect
50%
Estimation Model
50%
Automotive Applications
50%
Root Mean Square Error
50%
Age Estimation
50%
Automotive Battery
50%
Battery Data
50%
Battery Aging Model
50%
Aging Behavior
50%
Relevant Indicator
50%
Arrhenius Temperature
50%
Voltage Dependence
50%
Tafel Plot
50%
Capacity Measurement
50%
Empirical Networks
50%
Correlated Variables
50%
Engineering
Automotive Application
100%
State of Health
100%
Root-Mean-Squared Error
100%
Arrhenius
100%
Network Model
100%
Temperature Dependence
100%