Battery pack thermal and gaseous stress mitigation

1 . A method of battery pack thermal and gaseous stress mitigation, the method comprising:

obtaining data related to batteries within a battery pack;

extracting features from the obtained data related to the batteries, wherein the extracted features include effected batteries, battery positions, gas and temperature measurements, and gas and temperature thresholds;

mapping the extracted features;

identifying effected battery patterns;

generating a predictive battery condition model based on the effected battery patterns;

creating space between the effected batteries and adjacent batteries using a robotic base, wherein the robotic base is utilized to elongate at least one space between at least one effected battery and at least one adjacent battery based on an output of the predictive battery condition model using the identified effected battery patterns; and

tuning the predictive battery condition model based on an efficacy of the created space in mitigating or preventing battery pack thermal and gaseous stress.

2 . The method of claim 1 , wherein the location, magnitude, duration, and direction of created space are based on a minimum movement cost necessary to achieve at least one of restoring gas and temperature thresholds of the effected battery and preventing adjacent batteries from exceeding gas and temperature thresholds.

3 . The method of claim 1 , wherein the robotic base is connected to a plurality of expandable links, wherein the at least one effected battery and the at least one adjacent battery are connected by an expandable link.

4 . The method of claim 1 , wherein the robotic base grips the at least one effected battery in a stationary position and moves the at least one adjacent battery apart in a unidimensional direction.

5 . The method of claim 1 , wherein the effected battery patterns include specific effected batteries and at least one of corresponding positions, causes, predictions, extents, durations, ranges, frequencies, and probabilities.

6 . The method of claim 1 , wherein the creating the space, further comprises:

inserting a plurality of heatsinks of different performance characteristics including shape and material composition such that the space created is not isomorphic or homogenous; and

annotating a visual display, wherein the visual display is annotated to depict potential and actual altered conditions corresponding to the plurality of heatsinks inserted and the efficacy of the space created.

7 . A computer program product for battery pack thermal and gaseous stress mitigation comprising:

one or more computer-readable storage media and program instructions stored on the one or more non-transitory computer-readable storage media capable of performing a method, the method comprising:

obtaining data related to batteries within a battery pack;

extracting features from the obtained data related to the batteries, wherein the extracted features include effected batteries, battery positions, gas and temperature measurements, and gas and temperature thresholds;

mapping the extracted features;

identifying effected battery patterns;

generating a predictive battery condition model based on the effected battery patterns;

creating space between the effected batteries and adjacent batteries using a robotic base, wherein the robotic base is utilized to elongate at least one space between at least one effected battery and at least one adjacent battery based on an output of the predictive battery condition model using the identified effected battery patterns; and

tuning the predictive battery condition model based on an efficacy of the created space in mitigating or preventing battery pack thermal and gaseous stress.

8 . The computer program product of claim 7 , wherein the location, magnitude, duration, and direction of created space are based on a minimum movement cost necessary to achieve at least one of restoring gas and temperature thresholds of the effected battery and preventing adjacent batteries from exceeding gas and temperature thresholds.

9 . The computer program product of claim 7 , wherein the robotic base is connected to a plurality of expandable links, wherein the at least one effected battery and the at least one adjacent battery are connected by an expandable link.

10 . The computer program product of claim 7 , wherein the robotic base grips the at least one effected battery in a stationary position and moves the at least one adjacent battery apart in a unidimensional direction.

11 . The computer program product of claim 7 , wherein the effected battery patterns include specific effected batteries and at least one of corresponding positions, causes, predictions, extents, durations, ranges, frequencies, and probabilities.

12 . The computer program product of claim 7 , wherein the creating the space, further comprises:

inserting a plurality of heatsinks of different performance characteristics including shape and material composition such that the space created is not isomorphic or homogenous; and

annotating a visual display, wherein the visual display is annotated to depict potential and actual altered conditions corresponding to the plurality of heatsinks inserted and the efficacy of the space created.

13 . A computer system for battery pack thermal and gaseous stress mitigation, the computer system comprising:

one or more computer processors, one or more computer-readable storage media, and program instructions stored on the one or more of the computer-readable storage media for execution by at least one of the one or more processors capable of performing a method, the method comprising:

obtaining data related to batteries within a battery pack;

extracting features from the obtained data related to the batteries, wherein the extracted features include effected batteries, battery positions, gas and temperature measurements, and gas and temperature thresholds;

mapping the extracted features;

identifying effected battery patterns;

generating a predictive battery condition model based on the effected battery patterns;

creating space between the effected batteries and adjacent batteries using a robotic base, wherein the robotic base is utilized to elongate at least one space between at least one effected battery and at least one adjacent battery based on an output of the predictive battery condition model using the identified effected battery patterns; and

tuning the predictive battery condition model based on an efficacy of the created space in mitigating or preventing battery pack thermal and gaseous stress.

14 . The computer system of claim 13 , wherein the location, magnitude, duration, and direction of created space are based on a minimum movement cost necessary to achieve at least one of restoring gas and temperature thresholds of the effected battery and preventing adjacent batteries from exceeding gas and temperature thresholds.

15 . The computer system of claim 13 , wherein the robotic base is connected to a plurality of expandable links, wherein the at least one effected battery and the at least one adjacent battery are connected by an expandable link.

16 . The computer system of claim 13 , wherein the robotic base grips the at least one effected battery in a stationary position and moves the at least one adjacent battery apart in a unidimensional direction.

17 . The computer system of claim 13 , wherein the effected battery patterns include specific effected batteries and at least one of corresponding positions, causes, predictions, extents, durations, ranges, frequencies, and probabilities.

18 . A method of battery pack thermal and gaseous stress mitigation, the method comprising:

altering at least one battery pack condition to provide the battery pack thermal and gaseous stress mitigation using a robotic base, wherein the at least one battery pack condition altered includes created space between effected batteries and adjacent batteries before at least one of temperature thresholds and gas thresholds are exceeded based on a predictive battery condition model, wherein the predictive battery condition model includes effected battery patterns, and wherein the effected battery patterns include times, durations, frequencies, positions, and magnitudes of at least one of exceeded gas thresholds and exceeded temperature thresholds.

19 . The method of claim 18 , wherein the battery pack conditions altered further include at least one of airflow, voltage, and temperature distribution, and wherein a plurality of battery pack conditions are altered in combination based on cost minimization.

20 . A method of battery pack thermal and gaseous stress mitigation, the method comprising:

generating a predictive battery condition model based on effected battery patterns;

creating space between effected batteries and adjacent batteries in a battery pack based on real-time temperature measurements and real-time gas measurements, wherein the effected batteries are batteries that have or will imminently exceed at least one of a predetermined gas threshold and a predetermined temperature threshold, and wherein the location, magnitude, duration, and direction of the created space is based on a difference between at least one of the real-time temperature measurements and the real-time gas measurements and at least one of the predetermined gas threshold and the predetermined temperature threshold, respectively; and

tuning the predictive battery condition model based on an efficacy of the created space in mitigating or preventing battery pack thermal and gaseous stress.

21 . The computer system of claim 13 , wherein the creating the space, further comprises:

inserting a plurality of heatsinks of different performance characteristics including shape and material composition such that the space created is not isomorphic or homogenous; and

annotating a visual display, wherein the visual display is annotated to depict potential and actual altered conditions corresponding to the plurality of heatsinks inserted and the efficacy of the space created.

22 . The method of claim 1 , further comprising:

altering, using the robotic base, battery use within the battery pack based on a determination of an optimal diverted battery use, wherein the optimal diverted battery use includes a redistribution of batteries, voltage, temperature, and gas to non-effected batteries.

23 . The method of claim 22 , further comprising:

determining a positioning of a thermal conductive element connected to the robotic base, wherein the thermal conductive element is positioned relative to the at least one effected battery to increase airflow.

24 . The method of claim 1 , wherein a minimum flow problem is utilized to encode the battery pack into a graphical lattice, wherein each arc in a graph is associated with a unit cost for transporting heat and gas.

25 . The method of claim 24 , further comprising:

identifying a flow with a lowest associated cost, wherein a length of each arc changes according to expanding joints from the robotic base, and wherein each battery node represents both a supply node and a demand node.