Robert Boschgmbh

Yongfang Cheng

Nikhil Ravi

Reinhardt Klein

Maksim Subbotin

John F Christensen

Sarah Stewart

Anantharaman Subbaraman

Gerd Simon Schmidt

Farshad Ramezan Pour Safaei

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 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

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Mountain View, CA, United States of America

Yongfang Cheng