Robert Boschgmbh

University of Michigan

Cook, David J.

Oudart, Joel

Ravi, Nikhil

Doran, Eric M.

Nikhil Ravi

Reinhardt Klein

John F Christensen

Ashish S Krupadanam

Anahita MirTabatabaei

Anantharaman Subbaraman

Joel Oudart

Gerd Simon Schmidt

Li Jiang

Jason Schwanke

David Cook

Yongfang Cheng

Boris Kozinsky

Paul Albertus

Timm Lohmann

Christoph Klee

Sarah Stewart

Shyam Jade

Huei Peng

Maksim Subbotin

Ziheng Pan

Abdul-Kader Srouji

Farshad Ramezan Pour Safaei

Soo Kim

Gary O'Brien

Wolfgang Fischer

Nathan P Craig

Aleksandar Kojic

Anna G Stefanopoulou

Jake Christensen

Nalin Chaturvedi

Michael Metzger

Christina Johnston

Ando Lars Feyh

Erik Mikael Hellstrom

Jeffrey S Sterniak

Camille Usubelli

Christopher Mayhew

Münir Besli

Viktor Rill

Joël Oudart

Eric M Doran

Sun Ung Kim

Matt Thorington

Ashish Krupadanam

Boris Konzinsky

David J Cook

A method and system for charging a battery (e.g., including but not limited to lithium-ion batteries). The method may comprise: iteratively determining a plurality of charge profiles of the battery; based on the plurality of charge profiles, iteratively determining swelling of the battery; and adjusting a charge current during a subsequent charging of the battery.

Minimizing irreversible swelling during battery charging

An electrochemical battery system includes at least one electrochemical cell, a thermal control system operably connected to the at least one electrochemical cell, a memory in which a physics-based model of the at least one electrochemical cell is stored and in which program instructions are stored, and a controller operably connected to the at least one electrochemical cell, the thermal control system and the memory. The controller is configured to execute the program instructions to identify a first requested operation, obtain a first generated target temperature which is based on the physics-based model and the identified first requested operation, and control the thermal control system based upon the obtained first target temperature while controlling the at least one electrochemical cell based upon the identified first requested operation.

Physics-based control of battery temperature

A unit cell for a fuel cell stack including an anode catalyst layer separated by a polymer electrolyte membrane from a cathode catalyst layer, a first cell end plate separated by a first gas diffusion layer from the anode catalyst layer, and a second cell end plate separated by a second gas diffusion layer from the cathode catalyst layer, wherein the first cell end plate, the second cell end plate, or both include a matrix of electrically-conducting protrusions thereof.

Fuel cell device and systems enabling cell-level repair

A method, system, and non-transitory computer readable medium for determining a pseudo-optimal charging algorithm for a specific battery are disclosed. An electrochemical battery model is characterized based on the physical characteristics of a specific battery. An optimal charging profile is determined for the specific battery using the highly accurate electrochemical battery model. A pseudo-optimal charging profile is determined which closely approximates the optimal charging profile. However, the pseudo-optimal charging profile is comprised of simple building blocks which are easily and efficiently implemented in embedded applications having limited computational power/memory. An optimization process is used to determine optimal control parameters for the simple building blocks, trigger conditions and thresholds, and adaptation parameters for adapting the pseudo-optimal charging profile as the battery ages.

Method for approximating algorithms for fast charging li-ion batteries based on electrochemical battery models

A Li-ion battery management system comprises a Li-ion cell, one or more sensors configured to sense one or more operating conditions of the Li-ion cell, a controller having non-transitory memory for storing machine instructions that are to be executed by the controller and operatively connected to the Li-ion cell, the machine instructions when executed by the controller implement the following functions: receive the one or more operating conditions and a trained machine learning (ML) model, and output an indicator value along a state of charge (SOC) trajectory in response to the one or more operating conditions and the trained ML model to control a fast charge state of the Li-ion cell from a current source.

System and method for fast charging of lithium-ion batteries

A method and system for managing a battery system. The method including receiving at least one measured characteristic of the battery over a pre-defined time horizon from the at least one sensor, receiving at least one estimated characteristic of the battery from a electrochemical-based battery model based on differential algebraic equations, determining a cost function of a Moving Horizon Estimation based on the at least one measured characteristic and the at least one estimated characteristic, updating the electrochemical-based battery model based on the cost function, estimating at least one state of the at least one battery cell by applying the electrochemical-based battery model, and regulating at least one of charging or discharging of the battery based on the estimation of the at least one state of the at least one battery cell.

Secondary battery management system

An All-Wheel-Drive (AWD), multi-mode, power-split hybrid vehicle employing a drive combining all electric motors and an internal combustion engine, together collocated on a 2-planetary-gear (PG) set. The present teachings are capable of delivering competitive performance while maximizing fuel economy through power-split hybrid design.

Hybrid all-wheel drive system having dynamic clutches

Methods and systems are described of managing a battery system. The battery system including at least one battery cell and one or more sensors configured to measure a temperature of the at least one battery cell. The method includes receiving a measurement of the temperature of the at least one battery cell, estimating an open circuit potential of the at least one battery cell, estimating a capacity fade of the at least one battery cell based on the open circuit potential of the at least one battery cell and a ratio of a change in the open circuit potential relative to a change in the temperature of the at least one battery cell, and regulating at least one of charging or discharging of the at least one battery cell based on the estimation of the capacity fade.

Evaluating capacity fade in dual insertion batteries using potential and temperature measurements

A method of managing a battery system, the battery system including at least one battery cell, at least one sensor configured to measure at least one characteristic of the battery cell, and a battery management system including a microprocessor and a memory, the method comprising receiving by the battery management system, from the at least one sensor at least one measured characteristic of the battery cell at a first time and at least one measured characteristic of the battery cell at a second time. The battery management system estimating, at least one state of the battery cell by applying a physics-based battery model, the physics based battery model being based on differential algebraic equations; and regulating by the battery management system, at least one of charging or discharging of the battery cell based on the at least one estimated state.

Secondary battery management

A multi-mode, power-split hybrid transmission system having two planetary gear (PG) sets connected to one engine, two electric motors, one output shaft, and each other by several clutches, brakes, and direct connection elements. Depending on the specific location and actuation of the various clutch and brake elements, the multi-mode, power-split hybrid transmission system can be run in one of several modes (e.g. electric drive, power-split, parallel hybrid, series hybrid, electronic continuously variable transmission (eCVT), generator, neutral, and the like).

Multi-mode power split hybrid transmission with two planetary gear mechanisms

An engine system uses data associated with at least one operating condition of an engine to set the engine system to an AI mode when the engine is in an SI mode 1) within first operating condition limits, and 2) when a rate of change of a first operating condition is within rate of change limits, maintain the engine system in the SI mode when the engine is outside of first operating condition limits or when the rate of change of the first operating condition is not within rate of change limits, set the engine system to the SI mode when the engine is in the AI mode outside second operating condition limits, and maintain the engine system in the AI mode when the engine is within second operating condition limits, wherein the second operating condition limits are different from the first operating condition limits.

Multi-mode advanced combustion engine with supervisory control

A battery system, having a battery management system configured to determine the state of charge and state of health of a secondary battery. The battery management system may export data to and receive inputs from a remote computer which calculates at least a portion of the state of health of the battery.

Secondary battery management system with remote parameter estimation

A battery management system comprising a processor and a memory storing instructions that, when executed by the processor, cause the battery management system to estimate one or more states of the battery by applying a battery model to account for physical parameters of a chemical composition of the battery based on one or more measured characteristics of the battery and the one or more estimated characteristics of the battery and regulate a first charging mode of the battery based on the estimation of the one or more states of the one or more battery cells and switch between the first charging mode and a second charging mode based on the estimation of the one or more states of the battery to allow for rapid charging of the battery.

Staircase charging

A method for charging a battery comprises: measuring a battery voltage with a voltage sensor and a battery current with a current sensor; applying, with a charging circuit, a first charging current to the battery until the measured battery voltage exceeds a predetermined voltage threshold, a magnitude of the first charging current being held at a first constant value; applying, with the charging circuit, in response to the measured battery voltage exceeding the predetermined voltage threshold, a second charging current to the battery until a cutoff criterion is satisfied, a magnitude of the second charging current being such that the battery voltage exceeds a steady state voltage limit for the battery; after the cutoff criterion is satisfied, determining a rest voltage of the battery; and updating the cutoff criterion based on a difference between the determined rest voltage and a target rest voltage.

Method for fast charging lithium-ion batteries

A method for monitoring a battery while the battery is connected to a load has been developed. The method includes measuring a first current level flowing through the battery to the load and a first voltage level of the battery at a first time, generating an estimated open cell voltage (OCV) of the battery at the first time based on the first current level, the first voltage level, and a predetermined model of the battery, identifying a first excitation level of the battery at the first time based on the first voltage level, the first current level and a cost optimization process, and identifying at least one of a state of charge (SoC) and state of health (SoH) of the battery using the estimated OCV only in response to the first excitation level being below a predetermined threshold.

Method and system for estimating battery open cell voltage, state of charge, and state of health during operation of the battery

Growing community of inventors

Mountain View, CA, United States of America

Nikhil Ravi