Abstract
This paper examines an electrochemistry-based model of health degradation via anode-side resistive film formation in Lithium-ion batteries. The paper makes this model more tractable and conducive to control design by making two main contributions to the literature. First, we adaptively solve the model's algebraic constraints using quasi-linearization. This improves the model's execution speed compared to solving the constraints via optimization. Second, we reduce the model's order by deriving a family of analytic Padé approximations to the model's spherical diffusion equations. The paper carefully compares these Padé approximations to other published methods for reducing spherical diffusion equations. Finally, the paper concludes with simulations of battery degradation that highlight the significant impact of the proposed model reduction approach on the battery model's overall accuracy and simulation speed.
| Original language | English (US) |
|---|---|
| Title of host publication | ASME 2010 Dynamic Systems and Control Conference, DSCC2010 |
| Pages | 173-183 |
| Number of pages | 11 |
| Volume | 2 |
| DOIs | |
| State | Published - Dec 1 2010 |
| Event | ASME 2010 Dynamic Systems and Control Conference, DSCC2010 - Cambridge, MA, United States Duration: Sep 12 2010 → Sep 15 2010 |
Other
| Other | ASME 2010 Dynamic Systems and Control Conference, DSCC2010 |
|---|---|
| Country | United States |
| City | Cambridge, MA |
| Period | 9/12/10 → 9/15/10 |
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
Cite this
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Reduction of an electrochemistry-based Li-ion battery health degradation model via constraint linearization and Padé approximation. / Forman, Joel C.; Bashash, Saeid; Stein, Jeffrey; Fathy, Hosam Kadry.
ASME 2010 Dynamic Systems and Control Conference, DSCC2010. Vol. 2 2010. p. 173-183.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Reduction of an electrochemistry-based Li-ion battery health degradation model via constraint linearization and Padé approximation
AU - Forman, Joel C.
AU - Bashash, Saeid
AU - Stein, Jeffrey
AU - Fathy, Hosam Kadry
PY - 2010/12/1
Y1 - 2010/12/1
N2 - This paper examines an electrochemistry-based model of health degradation via anode-side resistive film formation in Lithium-ion batteries. The paper makes this model more tractable and conducive to control design by making two main contributions to the literature. First, we adaptively solve the model's algebraic constraints using quasi-linearization. This improves the model's execution speed compared to solving the constraints via optimization. Second, we reduce the model's order by deriving a family of analytic Padé approximations to the model's spherical diffusion equations. The paper carefully compares these Padé approximations to other published methods for reducing spherical diffusion equations. Finally, the paper concludes with simulations of battery degradation that highlight the significant impact of the proposed model reduction approach on the battery model's overall accuracy and simulation speed.
AB - This paper examines an electrochemistry-based model of health degradation via anode-side resistive film formation in Lithium-ion batteries. The paper makes this model more tractable and conducive to control design by making two main contributions to the literature. First, we adaptively solve the model's algebraic constraints using quasi-linearization. This improves the model's execution speed compared to solving the constraints via optimization. Second, we reduce the model's order by deriving a family of analytic Padé approximations to the model's spherical diffusion equations. The paper carefully compares these Padé approximations to other published methods for reducing spherical diffusion equations. Finally, the paper concludes with simulations of battery degradation that highlight the significant impact of the proposed model reduction approach on the battery model's overall accuracy and simulation speed.
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UR - http://www.scopus.com/inward/citedby.url?scp=79958185770&partnerID=8YFLogxK
U2 - 10.1115/DSCC2010-4084
DO - 10.1115/DSCC2010-4084
M3 - Conference contribution
SN - 9780791844182
VL - 2
SP - 173
EP - 183
BT - ASME 2010 Dynamic Systems and Control Conference, DSCC2010
ER -