Dispersion of Stored Energy Within a Battery System at Risk of Failure

Patent metadata

Field	Value
Publication number	US-2024088461-A1
Application number	US-202318511380-A
Country	US
Kind code	A1
Filing date	Nov 16, 2023
Priority date	Jan 8, 2021
Publication date	Mar 14, 2024
Grant date	—

Abstract

A method and system for dispersing stored energy in an energy storage system to delay or arrest propagation of thermal runaway and thermally-induced cascading failures. The system includes a plurality of battery sub-assemblies and DC-DC converters connected to a shared DC bus through which energy may be exchanged. The system may be interfaced to an AC power grid or DC power system through an additional power converter. The method of dispersing stored energy uses this system to charge and discharge sub-assemblies such that the system is less susceptible to propagation of thermal runaway. The method determines, based on awareness of current system state, battery types, and electrical and thermal structure, the sequence of charging and discharging actions to best inhibit thermal runaway while preserving the system's ability to perform subsequent energy redistribution.

First claim

1 . A method for dispersion of stored energy within a battery system comprising:
providing an energy storage system comprising a plurality of battery sub-assemblies connected through DC-DC converters to a shared DC bus; detecting a thermal runaway event associated with one of the battery sub-assemblies; isolating the sub-assembly associated with the thermal runaway event; identifying pathways taken by a thermal energy released by the thermal runaway event; determining a likelihood of successfully mitigating propagation of thermally-induced failures proximate to the inactivated sub-assembly based on system structure and current conditions; computing an optimal set of discharge current values to most effectively disperse stored energy from the thermal energy pathway; determining which sub-assemblies of the plurality of sub-assemblies may receive dispersed energy for charging; determining a respective optimal charging current value for each sub-assembly of the plurality of sub-assemblies and generating a command to dispersed energy at the optimal charging current value respectively; determining whether one or more of the sub-assemblies has been sufficiently depleted to mitigate the propagation of thermal runaway; and isolating one or more sub-assemblies which have been sufficiently depleted until no further dispersion of energy is possible in the system.

2 . The method of claim 1 , wherein in response to determining that successfully mitigating propagation of thermally-induced failures is not possible, returning to the step of determining a likelihood of successfully mitigating propagation in a next adjacent layer from the first adjacent layer; and
iteratively repeating the determining of thermal propagation in successive respective adjacent layers of sub-assemblies until a successful intervention is determined to be possible.

3 . The method of claim 2 , further comprising: computing an optimal charging current for a static and dynamic characteristic associated with the respective adjacent layer of sub-assemblies.

4 . The method of claim 3 , wherein: in response to determining that a sub-assembly will not receive any dispersed energy, setting the charging current value to zero.

5 . The method of claim 1 , further comprising determining whether a shared bus voltage is maintained, and if determined that the common bus voltage is not maintained, repeating the step of computing an optimal charging current.

6 . The method of claim 1 , wherein the step of determining if an adjacent layer of sub-assemblies is sufficiently depleted comprises determining that further discharge of the respective sub-assembly will be negligible to decreasing the likelihood of thermal runaway propagating therethrough.

7 . The method of claim 6 , further comprising repeating until the present layer is sufficiently depleted.

8 . The method of claim 7 , further comprising ending the dispersion of energy in response to determining that all sub-assemblies are fully charged and energy cannot be dispersed further from the location of the initial thermal runaway event.

9 . The method of claim 1 , further comprising identifying and applying variable thermal limits to power converters to manage acceptance of converter failure risk according to the severity of the thermal runaway event.

10 . A computer program product embodied in a non-transitory computer readable medium for dispersion of stored energy within a battery system, the computer program product comprising code which causes one or more processors to perform operations of:
detecting a thermal runaway event associated with one of the battery sub-assemblies; isolating the sub-assembly associated with the thermal runaway event; identifying pathways taken by a thermal energy released by the thermal runaway event; determining a likelihood of successfully mitigating propagation of thermally-induced failures proximate to the inactivated sub-assembly based on system structure and current conditions; computing an optimal set of discharge current values to most effectively disperse stored energy from the thermal energy pathway; determining which sub-assemblies of the plurality of sub-assemblies may receive dispersed energy for charging; determining a respective optimal charging current value for each sub-assembly of the plurality of sub-assemblies and generating a command to dispersed energy at the optimal charging current value respectively; identifying and applying variable thermal limits to power converters to manage acceptance of converter failure risk according to the severity of the thermal runaway event; determining whether one or more of the sub-assemblies has been sufficiently depleted to mitigate the propagation of thermal runaway; and isolating one or more sub-assemblies which have been sufficiently depleted until no further dispersion of energy is possible in the system.

11 . The computer program product of claim 10 , wherein the computer program product is further configured to perform operations of: in response to determining that propagation of thermal runaway is likely and intervention is not possible, returns to the step of determining a likelihood of successfully mitigating propagation of thermally-induced failures in a next adjacent layer from the first adjacent layer;
iteratively repeating the determining of thermal propagation in successive respective adjacent layers of sub-assemblies until a successful intervention is determined to be possible; computing an optimal charging current optimal for a static and dynamic characteristic associated with the respective adjacent layer of sub-assemblies; and in response to determining that the common bus voltage is not maintained, repeating the step of computing an optimal charging current.

12 . The computer program product of claim 10 , wherein the computer program product is further configured to perform operations of:
repeating the previous operations until the present layer is sufficiently depleted in response to determining that the respective layer is not sufficiently depleted; and ending the dispersion of energy in response to determining that all sub-assemblies are fully charged and energy cannot be dispersed further from the location of the initial thermal runaway event.

Assignees

• Nat Tech & Eng Solutions Sandia Llc

Inventors

• Mueller Jacob
• Preger Yuliya
• Hewson John C
• Kurzawski Andrew

Classifications

• H02J7/90

  Regulation of charging or discharging current or voltage · CPC title

• H01M10/443 Primary

  in response to temperature · CPC title

• H01M10/425

  Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing (printed circuits H05K1/00) · CPC title

• H01M10/441

  for several batteries or cells simultaneously or sequentially · CPC title

• H01M10/482 Primary

  for several batteries or cells simultaneously or sequentially · CPC title