TY - JOUR
T1 - Internal resistance mapping preparation to optimize electrode thickness and density using symmetric cell for high-performance lithium-ion batteries and capacitors
AU - Kisu, Kazuaki
AU - Aoyagi, Shintaro
AU - Nagatomo, Haruka
AU - Iwama, Etsuro
AU - Reid, McMahon Thomas Homer
AU - Naoi, Wako
AU - Naoi, Katsuhiko
N1 - Funding Information:
This study was supported by JSPS KAKENHI Grant Numbers JP25249140 , JP17K05962 , JP16K17970 , JP17K14920 , and the Center of Innovation Program from Japan Science and Technology Agency (A-STEP; AS282S002d ).
Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2018/8/31
Y1 - 2018/8/31
N2 - Methods for characterizing and optimizing the internal resistance of electrodes are crucial for achieving the simultaneous goals of high energy density and high power density in lithium-ion batteries. In this study we propose—and confirm the efficacy of—a method for electrode design optimization based on the construction of an internal resistance map, a visualization tool for minimizing electrode resistance. The construction of the map proceeds by identifying the three primary components of the electrode resistance—charge-transfer resistance, ionic resistance, and contact resistance—and elucidating the dependence of each component on electrode density and thickness. We fabricate electrode sheets of various densities and thicknesses and conduct electrode impedance spectroscopy (EIS) measurements to measure the dependence of internal resistance on density and thickness, which we characterize via empirical formulas incorporated into our internal resistance map. Using our map, we predict that the resistance per unit area of a nickel-cobalt- manganese (NCM) electrode attains its minimum value at thickness 70 μm and density 2.9 g cm−3. We then further use the map to predict variations in IR drop for NCM electrodes of different densities, obtaining results in excellent agreement with experimental measurements.
AB - Methods for characterizing and optimizing the internal resistance of electrodes are crucial for achieving the simultaneous goals of high energy density and high power density in lithium-ion batteries. In this study we propose—and confirm the efficacy of—a method for electrode design optimization based on the construction of an internal resistance map, a visualization tool for minimizing electrode resistance. The construction of the map proceeds by identifying the three primary components of the electrode resistance—charge-transfer resistance, ionic resistance, and contact resistance—and elucidating the dependence of each component on electrode density and thickness. We fabricate electrode sheets of various densities and thicknesses and conduct electrode impedance spectroscopy (EIS) measurements to measure the dependence of internal resistance on density and thickness, which we characterize via empirical formulas incorporated into our internal resistance map. Using our map, we predict that the resistance per unit area of a nickel-cobalt- manganese (NCM) electrode attains its minimum value at thickness 70 μm and density 2.9 g cm−3. We then further use the map to predict variations in IR drop for NCM electrodes of different densities, obtaining results in excellent agreement with experimental measurements.
KW - Composite electrode
KW - Electrode density
KW - Internal resistance
KW - Lithium-ion batteries
KW - Symmetric cell
UR - http://www.scopus.com/inward/record.url?scp=85048171437&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048171437&partnerID=8YFLogxK
U2 - 10.1016/j.jpowsour.2018.05.083
DO - 10.1016/j.jpowsour.2018.05.083
M3 - Article
AN - SCOPUS:85048171437
SN - 0378-7753
VL - 396
SP - 207
EP - 212
JO - Journal of Power Sources
JF - Journal of Power Sources
ER -