Joachim Schaeffer

According to our database, Joachim Schaeffer authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data.

Joachim Schaeffer, Eric Lenz, William C. Chueh, Martin Z. Bazant, Rolf Findeisen, Richard D. Braatz

Comput. Chem. Eng., January, 2024

Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation.

Jinwook Rhyu, Joachim Schaeffer, Michael L. Li, Xiao Cui, William C. Chueh, Martin Z. Bazant, Richard D. Braatz

CoRR, 2024

Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging.

Sebastian Hirt, Andreas Höhl, Johannes Pohlodek, Joachim Schaeffer, Maik Pfefferkorn, Richard D. Braatz, Rolf Findeisen

CoRR, 2024

Lithium-Ion Battery System Health Monitoring and Fault Analysis from Field Data Using Gaussian Processes.

Joachim Schaeffer, Eric Lenz, Duncan Gulla, Martin Z. Bazant, Richard D. Braatz, Rolf Findeisen

CoRR, 2024

Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging.

Sebastian Hirt, Andreas Höhl, Joachim Schaeffer, Johannes Pohlodek, Richard D. Braatz, Rolf Findeisen

CoRR, 2024

Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More.

Joachim Schaeffer, Giacomo Galuppini, Jinwook Rhyu, Patrick A. Asinger, Robin Droop, Rolf Findeisen, Richard D. Braatz

Proceedings of the American Control Conference, 2024

Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries.

Minsu Kim, Joachim Schaeffer, Marc D. Berliner, Berta Pedret Sagnier, Rolf Findeisen, Richard D. Braatz

Proceedings of the American Control Conference, 2024

2023

Machine learning benchmarks for the classification of equivalent circuit models from solid-state electrochemical impedance spectra.

Joachim Schaeffer, Paul Gasper, Esteban García Tamayo, Raymond Gasper, Masaki Adachi, Juan Pablo Gaviria-Cardona, Simon Montoya-Bedoya, Anoushka Bhutani, Andrew Schiek, Rhys Goodall, Rolf Findeisen, Richard D. Braatz, Simon Engelke

CoRR, 2023

2022

Latent Variable Method Demonstrator - software for understanding multivariate data analytics algorithms.

Joachim Schaeffer, Richard D. Braatz

Comput. Chem. Eng., 2022