|
Volumn , Issue , 2011, Pages 493-496
|
Battery state of charge estimation for electric vehicle based on neural network
|
Author keywords
Li ion battery; state of charge estimation; the method of neural network
|
Indexed keywords
BATTERY STATE OF CHARGE;
CHARGE DISCHARGE PERFORMANCE;
IRON PHOSPHATES;
LI-ION BATTERIES;
NEURAL NETWORK METHOD;
PREDICTION MODEL;
REMAINING CAPACITY;
STATE-OF-CHARGE ESTIMATION;
TEST DATA IN;
COMMUNICATION;
ELECTRIC DISCHARGES;
ELECTRIC VEHICLES;
FORECASTING;
IONS;
IRON COMPOUNDS;
LEAD ACID BATTERIES;
MATHEMATICAL MODELS;
NEURAL NETWORKS;
|
EID: 80053155023
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/ICCSN.2011.6013952 Document Type: Conference Paper |
Times cited : (19)
|
References (8)
|