Title : 
Online spectroscopic diagnostics implemented in an efficient battery management system
         
        
            Author : 
Din, Eric ; Schaef, Christopher ; Moffat, Keith ; Stauth, Jason T.
         
        
            Author_Institution : 
Thayer School of Engineering, Dartmouth College, 14 Engineering Drive Hanover, NH 03755
         
        
        
        
        
        
            Abstract : 
Electrochemical energy storage is critical for a range of applications spanning electrified transportation and grid energy storage, and there is a need to further improve both the active management and diagnostic capability of current battery management systems (BMS). This work presents an efficient power converter (based on the switched-inductor ladder topology), instrumentation, and an embedded control platform that can provide both active balancing and real-time diagnostic capability through electrochemical impedance spectroscopy (EIS). Cell-level diagnostics allow for non-invasive measurement of physical electrochemical battery properties that can be used to assess state of charge (SOC) and state of health (SOH). A single stage of the converter was implemented on a printed circuit board, and testing on Panasonic 18650 Li-ion battery cells was performed. Experimentation results showed efficient cell balancing, and validation against the state of the art confirmed accurate impedance measurement.
         
        
            Keywords : 
Batteries; Battery charge measurement; Current measurement; Impedance; Inductors; Instruments; System-on-chip;
         
        
        
        
            Conference_Titel : 
Control and Modeling for Power Electronics (COMPEL), 2015 IEEE 16th Workshop on
         
        
            Conference_Location : 
Vancouver, BC, Canada
         
        
        
            DOI : 
10.1109/COMPEL.2015.7236518