Chongqing Jinkang Powertrain New Energy Co., Ltd.

Other

Sf Motors, Inc.

Jun Hou

Ying Liu

Saeed Khaleghi Rahimian

Chen-Yen Yu

Wenke Zhang

Min Tian

Junzhe Shi

Yifan Tang

Brennan Campbell

Sangwoo Han

Minghao Dai

Embodiments described herein generally relate to the modification of State of Charge (SoC) calculations within electric vehicles (EVs). A database of data points may be generated based on characteristics of a battery cell at various measured SoCs within a controlled environment. Subsequently, during the operation of an EV, a battery management system (BMS) within the EV may collect various operating data points. The collected operating data points may be utilized to reference similar data points stored in the database in order to determine an SoC value. The SoC value may be utilized to modify or alter the SoC calculations by the BMS for an EV in operation.

State of charge error estimation of battery cells background

Various systems and methods for controlling a maximum current threshold of a battery system within a vehicle are presented. The systems may include a battery module, one or more vehicle systems, a battery management system having a battery monitoring unit that monitors a current parameter, and a battery control system that receives the current parameter from the battery monitoring unit. The battery control system may be configured to identify a current event for the battery module, determine a duration of the current event, compare the duration of the current event to a plurality of time thresholds, determine the current parameter based on the duration of the current event, determine a maximum current parameter based on the duration of the current event and the current parameter, and control the one or more vehicle systems such that a current of the one or more batteries does not exceed the maximum current parameter.

Methods and systems for variable maximum current protection for battery systems

Various arrangements for determining the state of health (SOH) of a battery of an electric vehicle are presented. A first OCV of the battery of the electric vehicle may be determined. Coulomb counting on the battery of the electric vehicle may be performed to determine an accumulated capacity value following the first OCV being determined. A second OCV of the battery of the electric vehicle may be determined after performing the coulomb counting. A change in OCV value may be calculated using the determined first OCV and the determined second OCV. A slope value may be determined by dividing the accumulated capacity value by the change in OCV value. The SOH of the battery may then be determined using the slope value.

Battery state of health estimation using open circuit voltage slope

Battery health is determined by estimating a battery anode capacity, battery cathode capacity, and cyclable lithium capacity. Determining electrode and lithium capacity may include determining anode and cathode open cell voltages (OCV) at the beginning of battery life, and estimating the full cell OCV from the individual (half-cell) OCV values. Once the beginning of battery life information is known, the state of charge (SOC) for a battery is measured during battery life. The SOC measurements may be captured at a plurality of different levels. The cathode capacity, anode capacity, and cycle mobile lithium capacity are then determined from the beginning of life OCV data and plurality of SOC data. The capacities can be used to detect degradation, and a battery management system can take steps to reduce further degradation based on the capacity values.

Battery state of health estimation by tracking electrode and cyclable lithium capacities

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Santa Clara, CA, United States of America

Jun Hou