Leland Stanford Junior University

Massachusetts Institute of Technology

Toyota Research Institute, Inc.

Basf Se Corporation

William C Chueh

Stephen Joel Harris

Patrick Kenichi Herring

William E Gent

Nicholas A Melosh

Heino Sommer

Nicholas Perkins

Peter M Attia

Chirranjeevi Balaji Gopal

Tobias Maximilian Teufl

Richard Dean Braatz

Benben Jiang

Kristen Ann Severson

Arunava Majumdar

Vivek Nath Lam

Gabriel B Crane

Nadia L Ahlborg

Antonio Baclig

Andrey Poletayev

Norman Jin

Hyungyu Jin

Victoria Ng

Devi Ganapathi

Shang Zhai

Emily Penn

Jimmy A Rojas Herrera

Michael Forsuelo

Stefano Ermon

Fabian Mohr

Aditya Grover

Todor Mihaylov Markov

Xiao Cui

Patrick A Asinger

Xiaofei Ye

Bruis Van Vlijmen

Kipil Lim

Peter M Csernica

Grace M Busse

Jordan K Lampert

System, methods, and other embodiments described herein relate to improving the estimation of battery life. In one embodiment, a method includes measuring electrochemical data of a battery cell associated with an electrochemical reaction triggered by a test during a diagnostic cycle. The method also includes determining a feature associated with the degradation of the battery cell from the electrochemical data. The method also includes predicting an end-of-life (EOL) of the battery cell by using the feature in a machine learning (ML) model.

Systems and methods for predicting battery life using data from a diagnostic cycle

System, methods, and other embodiments described herein relate to improving the cycling of batteries by using data and a hierarchical Bayesian model (HBM) for predicting the cycle life of a cycling protocol. In one embodiment, a method includes classifying cycle life of a battery into a class using battery data from cycling with a protocol, wherein the class represents cycle life distributions of cycling protocols. The method also includes quantifying, using the class in a HBM, variability for the battery induced by the protocol. The method also includes predicting, using the HBM, an adjusted cycle life for the protocol according to the variability. The method also includes communicating the adjusted cycle life to operate the battery.

Systems and methods for predicting the cycle life of cycling protocols

An electrochemical device includes: (1) a compartment; (2) a container including a liquid reactant; and (3) a conveyance mechanism fluidly connected to the container and the compartment and configured to convey the liquid reactant from the container into the compartment, wherein the liquid reactant is a eutectic mixture of two or more different redox-active substances.

High-energy density redox-active eutectic liquid

A method of using data-driven predictive modeling to predict and classify battery cells by lifetime is provided that includes collecting a training dataset by cycling battery cells between a voltage V1 and a voltage V2, continuously measuring battery cell voltage, current, can temperature, and internal resistance during cycling, generating a discharge voltage curve for each cell that is dependent on a discharge capacity for a given cycle, calculating, using data from the discharge voltage curve, a cycle-to-cycle evolution of cell charge to output a cell voltage versus charge curve Q(V), generating transformations of &#x394;Q(V), generating transformations of data streams that include capacity, temperature and internal resistance, applying a machine learning model to determine a combination of a subset of the transformations to predict cell operation characteristics, and applying the machine learning model to output the predicted battery operation characteristics.

Data-driven model for lithium-ion battery capacity fade and lifetime prediction

A two-step thermochemical gas reduction process based on poly-cation oxides includes repeatedly cycling a thermal reduction step and a gas reduction step. In the thermal reduction the poly-cation oxide is heated to produce a reduced poly-cation oxide and oxygen. In the gas reduction step, the reduced poly-cation oxide is reacted with a gas to reduce the gas, while reoxidizing the poly-cation oxide. The poly-cation oxide has at least two distinct crystal structures at two distinct temperatures and is capable of undergoing a reversible phase transformation between the two distinct crystal structures. For example, the poly-cation oxide may be an entropy tuned mixed metal oxide, such as an entropy stabilized mixed metal oxide, where the entropy-tuning is achieved via change in crystal structure of one of more of the compounds involved. The gas reduction process may be used for water splitting, COsplitting, NOreduction, and other gas reduction processes.

Thermochemical gas reduction process using poly-cation oxide

A method of probing a multidimensional parameter space of battery cell test protocols is provided that includes defining a parameter space for a plurality of battery cells under test, discretizing the parameter space, collecting a preliminary set of cells being cycled to failure for sampling policies from across the parameter space and include multiple repetitions of the policy, specifying resource hyperparameters, parameter space hyperparameters, and algorithm hyperparameters, selecting a random subset of charging policies, testing the random subset of charging policies until a number of cycles required for early prediction of battery lifetime is achieved, inputting cycle data for early prediction into an early prediction algorithm to obtain early predictions, inputting the early predictions into an optimal experimental design (OED) algorithm to obtain recommendations for running at least one next test, running the recommended tests by repeating from the random subset testing step above, and validating final recommended policies.

Autonomous screening and optimization of battery formation and cycling procedures

A solid-state PEC includes mixed ionic and electronic conducting oxides that allow it to operate at temperatures significantly above ambient utilizing both the light and thermal energy available from concentrated sunlight to dissociate water vapor. The solid-state PEC has a semiconductor light absorber coated with a thin MIEC oxide for improved catalytic activity, electrochemical stability and ionic conduction, which is located between the gas phase and the semiconductor light absorber. As a result, the MIEC oxide provides a facile path for minority carriers to reach the water vapor as well as a path for the ionic carriers to reach the solid electrolyte. Elevated temperature operation allows reasonable band misalignments at the interfaces to be overcome, reduces the required overpotential, and facilitates rapid product diffusion away from the surface.

Heterojunction elevated-temperature photoelectrochemical cell

Growing community of inventors

Menlo Park, CA, United States of America

William C Chueh