Patents by Inventor Lorenz Haghenbeck Emde

Lorenz Haghenbeck Emde 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).

  • Battery state of health estimator
    Patent number: 11360155
    Abstract: A computing system, method, and apparatus for determining a state of health indication for a battery are provided. A first supervised deep neural network (“DNN”) is trained using received characteristics for the battery as input and received process parameters as outputs. An unsupervised AI estimator is trained using one or more clustering methods based on extracted features from the first supervised DNN, where the received characteristics are input to the unsupervised AI estimator. A second supervised DNN is trained using identified clusters from the unsupervised AI estimator. The identified clusters are validated with state of health indications. User battery data is inputted to the second supervised DNN to determine the state of health for the battery.
    Type: Grant
    Filed: September 3, 2020
    Date of Patent: June 14, 2022
    Assignees: VOLKSWAGEN AKTIENGESELLSCHAFT, AUDI AG, DR. ING. H.C. F. PORSCHE AKTIENGESELLSCHAFT
    Inventors: Melanie Senn, Joerg Christian Wolf, Lorenz Haghenbeck Emde
  • BATTERY STATE OF HEALTH ESTIMATOR
    Publication number: 20220065939
    Abstract: A computing system, method, and apparatus for determining a state of health indication for a battery are provided. A first supervised deep neural network (“DNN”) is trained using received characteristics for the battery as input and received process parameters as outputs. An unsupervised AI estimator is trained using one or more clustering methods based on extracted features from the first supervised DNN, where the received characteristics are input to the unsupervised AI estimator. A second supervised DNN is trained using identified clusters from the unsupervised AI estimator. The identified clusters are validated with state of health indications. User battery data is inputted to the second supervised DNN to determine the state of health for the battery.
    Type: Application
    Filed: September 3, 2020
    Publication date: March 3, 2022
    Inventors: Melanie Senn, Joerg Christian Wolf, Lorenz Haghenbeck Emde