Sf Motors, Inc.

Chongqing Jinkang Powertrain New Energy Co., Ltd.

Chongqing Jinkang New Energy Automobile Co., Ltd.

Chongqing Jinkang Energy Vehicle Co., Ltd.

Mehdi Forouzan

Yifan Tang

Ying Liu

Saeed Khaleghi Rahimian

Sangwoo Han

Wenke Zhang

Junzhe Shi

A physics-based calendar life model for determining the state of health of a lithium ion battery cell. The model accounts for parasitic reactions on anode and cathode particles to accurately determine degradation of a battery. By incorporating electrolyte decomposition in a cathode, the present calendar model can predict capacity retention as well as the substantial rise of cell resistance at high state of charge (SOC) and temperatures. The present calendar model is a simple algorithm, utilizing only three parameters, and determines the capacity retention and resistance rise based on temperature, SOC and time.

Control-oriented physics-based calendar life model for lithium ion cells

A multiple particle reduced order model to adjust charging applied to a load based on accurately predicting lithium plating potential in real time during the life of a lithium battery cell. In the current multi-particle reduced order modeling system, the current density and the potential distributions are solved iteratively. Once the current distribution is solved, lithium concentration distribution is solved without involving any iterative process. By solving the lithium concentration distribution as a separate step after the iteratively determined current density and potential distributions, the computation time required by the model to generate an output is dramatically reduced by avoiding solving multiple partial derivative equations iteratively. Based on the potential distribution information provided by the output of the model, lithium plating potential can be determined, and actions can be taken, such as modified charging techniques and rates, to minimize future lithium plating.

Continuous derating fast charging method based on multiple particle reduced order model

Apparatuses, systems, and methods of storing electrical energy for electric vehicles are provided. A battery pack can be disposed in an electric vehicle to power the electric vehicle. A battery cell can be arranged in the battery pack. The battery cell can include a housing. The housing can define a cavity within the housing. The cavity of the battery cell can include a separator having a first side and a second side, a cathode disposed along the first side of the separator, and an anode disposed along the second side of the separator. The anode can include a first portion adjacent to the second side of the separator, and a second portion adjacent to the first portion and separated from the separator by the first portion. A porosity of the first portion of the anode can be greater than a porosity of the second portion of the anode.

Electric vehicle lithium batteries having non-uniform anode layer

A method for controlling battery temperature during a charge cycle includes representing a battery cell as a plurality of individual battery cells such that each representation of the individual battery cells can be simulated individually; for each of the individual battery cells, calculating one or more simulated responses during a charge cycle based at least in part on one or more values indicative of a charge rate; determining an optimal input temperature profile for the charge rate that minimizes differences between simulated responses for each of the plurality of individual battery cells; and providing the optimal input temperature profile for control of a temperature management system that monitors and controls a temperature of the battery cell.

Growing community of inventors

Santa Clara, CA, United States of America

Mehdi Forouzan