Battery State of Health Estimation Based on Incremental Capacity Analysis Method: Synthesizing from Cell-Level Test to Real-World Application

2021 ◽  
pp. 1-1
Author(s):  
Chengqi She ◽  
Lei Zhang ◽  
Zhengpo Wang ◽  
Fengchun Sun ◽  
Peng Liu ◽  
...  
Keyword(s):  
Real World ◽  
Capacity Analysis ◽  
State Of Health ◽  
Analysis Method ◽  
Cell Level ◽  
Real World Application ◽  
Incremental Capacity

scholarly journals Innovative Incremental Capacity Analysis Implementation for C/LiFePO4 Cell State-of-Health Estimation in Electrical Vehicles

Batteries ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. 37 ◽  
Author(s):  
Elie Riviere ◽  
Ali Sari ◽  
Pascal Venet ◽  
Frédéric Meniere ◽  
Yann Bultel
Keyword(s):  
Lithium Iron Phosphate ◽  
Iron Phosphate ◽  
Capacity Analysis ◽  
Battery Management System ◽  
Battery Management ◽  
State Of Health ◽  
Depth Of Discharge ◽  
Electrical Vehicles ◽  
Charging Current ◽  
Incremental Capacity

This paper presents a fully embedded state of health (SoH) estimator for widely used C/LiFePO4 batteries. The SoH estimation study was intended for applications in electric vehicles (EV). C/LiFePO4 cells were aged using pure electric vehicle cycles and were monitored with an automotive battery management system (BMS). An online capacity estimator based on incremental capacity analysis (ICA) is developed. The proposed estimator is robust to depth of discharge (DoD), charging current and temperature variations to satisfy real vehicle requirements. Finally, the SoH estimator tuned on C/LiFePO4 cells from one manufacturer was tested on C/LiFePO4 cells from another LFP (lithium iron phosphate) manufacturer.

scholarly journals Incremental Capacity Analysis as a State of Health Estimation Method for Lithium-Ion Battery Modules with Series-Connected Cells

Batteries ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 2
Author(s):  
Amelie Krupp ◽  
Ernst Ferg ◽  
Frank Schuldt ◽  
Karen Derendorf ◽  
Carsten Agert
Keyword(s):  
Lithium Iron Phosphate ◽  
Estimation Method ◽  
Lithium Ion ◽  
Iron Phosphate ◽  
Capacity Analysis ◽  
State Of Health ◽  
Incremental Capacity ◽  
Li Ion ◽  
Parallel Connections

Incremental capacity analysis (ICA) has proven to be an effective tool for determining the state of health (SOH) of Li-ion cells under laboratory conditions. This paper deals with an outstanding challenge of applying ICA in practice: the evaluation of battery series connections. The study uses experimental aging and characterization data of lithium iron phosphate (LFP) cells down to 53% SOH. The evaluability of battery series connections using ICA is confirmed by analytical and experimental considerations for cells of the same SOH. For cells of different SOH, a method for identifying non-uniform aging states on the modules’ IC curve is presented. The findings enable the classification of battery modules with series and parallel connections based on partial terminal data.

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