Patents by Inventor Yongfang Cheng

Yongfang Cheng has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11515587
    Abstract: 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.
    Type: Grant
    Filed: October 10, 2019
    Date of Patent: November 29, 2022
    Assignee: Robert Bosch GmbH
    Inventors: Sarah Stewart, John F. Christensen, Nikhil Ravi, Maksim Subbotin, Reinhardt Klein, Yongfang Cheng
  • Patent number: 11243258
    Abstract: 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.
    Type: Grant
    Filed: November 13, 2018
    Date of Patent: February 8, 2022
    Assignee: Robert Bosch GmbH
    Inventors: Farshad Ramezan Pour Safaei, Anantharaman Subbaraman, Nikhil Ravi, Reinhardt Klein, Gerd Simon Schmidt, Yongfang Cheng
  • Patent number: 11201489
    Abstract: 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.
    Type: Grant
    Filed: August 21, 2019
    Date of Patent: December 14, 2021
    Assignee: ROBERT BOSCH GMBH
    Inventors: Maksim Subbotin, Reinhardt Klein, Yongfang Cheng, Nikhil Ravi
  • Publication number: 20210173012
    Abstract: A battery management system includes a memory, a current sensor that measures a current flow through a battery to a load, a voltage sensor that measures a voltage level between a first terminal and a second terminal of the battery that are each connected to the load, and the memory, a temperature sensor that measures a temperature level of the battery; and a controller configured to be operatively connected to the current sensor, temperature sensor, and voltage sensor. The controller is configured to receive a measurement of a first current level and a first voltage level and utilize a corrected capacity and corrected open circuit voltage estimate to output an estimated open circuit voltage of the battery as compared to an estimated capacity.
    Type: Application
    Filed: December 4, 2019
    Publication date: June 10, 2021
    Inventors: Maksim SUBBOTIN, Farshad Ramezan Pour SAFAEI, Anantharaman SUBBARAMAN, Nikhil RAVI, Gerd Simon SCHMIDT, Reinhardt KLEIN, Yumi KONDO, Yongfang CHENG, Jake CHRISTENSEN
  • Publication number: 20210111446
    Abstract: In one embodiment, 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.
    Type: Application
    Filed: October 10, 2019
    Publication date: April 15, 2021
    Inventors: Sarah Stewart, John F. Christensen, Nikhil Ravi, Maksim Subbotin, Reinhardt Klein, Yongfang Cheng
  • Publication number: 20210057919
    Abstract: 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.
    Type: Application
    Filed: August 21, 2019
    Publication date: February 25, 2021
    Inventors: MAKSIM SUBBOTIN, REINHARDT KLEIN, YONGFANG CHENG, NIKHIL RAVI
  • Publication number: 20200150185
    Abstract: 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.
    Type: Application
    Filed: November 13, 2018
    Publication date: May 14, 2020
    Inventors: Farshad Ramezan Pour Safaei, Anantharaman Subbaraman, Nikhil Ravi, Reinhardt Klein, Gerd Simon Schmidt, Yongfang Cheng
  • Patent number: 9499183
    Abstract: A method for stopping a train at a range of predetermined positions, first acquires a measured state of the trains, and then updates, in a parameter estimator, estimates of unknown parameters and a reliability of the unknown parameters, based on a comparison of a predicted state of the train with the measured state of the train. An excitation input sequence reference generator acquires dynamics of the train to determine a sequence of excitation inputs based on a current estimate of system parameters, the measured state of the train, and a set of constraints on an operation of the train. A model predictive controller (MPC) receives a control-oriented cost function, a set of constraints, the sequence of excitation inputs, the estimate of the unknown parameters and the reliability of the estimate of the unknown parameters to determine an input command for a traction-brake actuator of the train.
    Type: Grant
    Filed: February 23, 2015
    Date of Patent: November 22, 2016
    Assignee: Mitsubishi Electric Research Laboratories, Inc.
    Inventors: Stefano Di Cairano, Sohrab Haghighat, Yongfang Cheng
  • Publication number: 20160244077
    Abstract: A method for stopping a train at a range of predetermined positions, first acquires a measured state of the trains, and then updates, in a parameter estimator, estimates of unknown parameters and a reliability of the unknown parameters, based on a comparison of a predicted state of the train with the measured state of the train. An excitation input sequence reference generator acquires dynamics of the train to determine a sequence of excitation inputs based on a current estimate of system parameters, the measured state of the train, and a set of constraints on an operation of the train. A model predictive controller (MPC) receives a control-oriented cost function, a set of constraints, the sequence of excitation inputs, the estimate of the unknown parameters and the reliability of the estimate of the unknown parameters to determine an input command for a traction-brake actuator of the train.
    Type: Application
    Filed: February 23, 2015
    Publication date: August 25, 2016
    Inventors: Stefano Di Cairano, Sohrab Haghighat, Yongfang Cheng