A full set of publications may be found at Google Scholar. As far as possible papers are made available for download as pre-prints (primarily through ArXiv and/or as open access through ORA or directly from the publisher, as required by our funders.
PhD theses may be accessed through the following ORA links (some are embargoed due to commercial sensitivity):
Sulzer, V., Mohtat, P., et al., “The challenge and opportunity of battery lifetime prediction from field data”, Joule, 2021. Publisher copy - please contact us if you want the pdf sent to you. Author accepted manuscript.
S. Greenbank and D.A. Howey, “Automated feature extraction and selection for data-driven models of rapid battery capacity fade and end of life”. IEEE Transactions on Industrial Informatics, in press, 2021. Publisher copy or Pre-print
Aitio, A. and Howey, D.A. “Combining non-parametric and parametric models for stable and computationally efficient battery health estimation”, Proceedings of the ASME 2020 Dynamic Systems and Control Conference. Publisher copy or Pre-print
Raj, T., Wang, A.A., Monroe, C.W., and Howey, D.A., “Investigation of Path‐Dependent Degradation in Lithium‐Ion Batteries”, Batteries and Supercaps, 3(12), 1377-1385, 2020. Open access publisher copy
Aitio, A., Marquis, S.G., Ascencio, P., and Howey, D.A., “Bayesian parameter estimation applied to the Li-ion battery single particle model with electrolyte dynamics”, IFAC-PapersOnLine, 53(2), 12497-12504, 2020. Publisher copy or Pre-print
Richardson, R.R., Osborne, M.A., and Howey D.A. “Battery health prediction under generalized conditions using a Gaussian process transition model”, Journal of Energy Storage vol. 23, 2019. Open access publisher copy
Reniers, J.M., Mulder, G., and Howey, D.A. “Review and performance comparison of mechanical-chemical degradation models for lithium-ion batteries”. Journal of The Electrochemical Society, vol. 166, num. 14, pp. A3189-A3200, 2019. Open access publisher copy
Bizeray, A.M., Kim, J-H.,Duncan, S.R., and Howey D.A., “Identifiability and Parameter Estimation of the Single Particle Lithium-Ion Battery Model”, IEEE Transactions on Control Systems Technology, vol. 27, num. 5, 2019. Publisher copy or Pre-print