Large-format battery management system
A battery system with a large-format Li-ion battery powers attached equipment by discharging battery cells distributed among a plurality of battery packs. The discharging of the battery cells is controlled in an efficient manner while preserving the expected life of the Li-ion battery cells. Each battery pack internally supports a battery management system and may have identical components, thus supporting an architecture that easily scales to higher power/energy. Battery packs may be added or removed without intervention with a user, where one of battery packs serves as a master battery pack and the remaining battery packs serve as slave battery packs. When the master battery pack is removed, one of the slave battery packs becomes the master battery pack. Charging and discharging of the battery cells is coordinated by the master battery pack with the slave battery packs over a communication channel such as a controller area network (CAN) bus.
1. A method comprising:
receiving, by a computing device having one or more processors, a first reading of a state of charge (SOC) of each of a plurality of battery packs, wherein the plurality of battery packs comprises at least a first group of one or more battery packs and a second group of one or more battery packs;
identifying, by the computing device, based on the received first reading of the SOC of each of the plurality of battery packs, and based on an identification of a lowest level for the first reading of the SOC and a second lowest level for the first reading of the SOC,
the first group as having the lowest level for the first reading of the SOC, and
the second group as having the second lowest level for the first reading of the SOC;
generating, by the computing device and based on the identification of the lowest level and the second lowest level, a first list comprising of the first group and the second group;
determining, by the computing device, based on the first reading of the SOC of the first group, and based on the first reading of the SOC of the second group, a first SOC variability of the first list;
determining, by the computing device and based on the first SOC variability, that the first SOC variability does not satisfy a SOC variability threshold;
establishing, by the computing device, a first SOC threshold using the first reading of the SOC of the second group;
causing, by the computing device and via electric charge arrays, charging of the first group to cause the SOC of the first group to increase;
receiving, by the computing device, a second reading of the SOC of each of the plurality of battery packs;
determining, by the computing device and based on a second reading of the SOC of the first group, that the second reading of the SOC of the first group satisfies the first SOC threshold.
2. The method of claim 1 , further comprising:
determining, by the computing device and based on the received second reading of the SOC of each of the plurality of battery packs, an updated first SOC variability of the first list;
determining, by the computing device, that the updated first SOC variability satisfies the SOC variability threshold.
3. The method of claim 1 , wherein the receiving the first reading of the SOC of each of the plurality of battery packs further comprises:
identifying, by the computing device, a master battery pack as one of the plurality of battery packs; and
receiving, by the computing device and from the master battery pack, the first reading of the SOC of each of the plurality of battery packs.
4. The method of claim 1 , wherein the causing the charging further comprises enabling an electric discharge array from a charger to the one or more battery packs of the first group of one or more battery packs via a converter.
5. The method of claim 1 , wherein the plurality of battery packs further comprises at least a third group of one or more battery packs, and wherein the method further comprises:
identifying, by the computing device, based on the received second reading of the SOC of each of the plurality of battery packs, and based on an identification of a lowest level for the second reading of the SOC of each of the plurality of battery packs and a second lowest level for the second reading of the SOC of each of the plurality of battery packs,
the first group and the second group as having the lowest level for the second reading of the SOC, and
the third group as having the second lowest level for the second reading of the SOC;
generating, by the computing device and based on the lowest level for the second reading of the SOC and the second lowest level for the second reading of the SOC, a second list comprising the first group, the second group, and the third group;
determining, by the computing device, based on the second reading of the SOC of the first group, based on the second reading of the SOC of the second group, and based on the second reading of the SOC of the third group, a second SOC variability of the second list.
6. The method of claim 5 , wherein the generating the second list comprises expanding the first list to include battery packs having the second lowest level for the second reading of the SOC.
7. The method of claim 5 , further comprising:
determining, by the computing device, that the second SOC variability does not satisfy the SOC variability threshold;
establishing, by the computing device, a second SOC threshold based on a second reading of the SOC of the third group;
causing, by the computing device and via the electric charge arrays,
the charging of the first group to cause the SOC of the first group to increase, and
charging of the second group to cause the SOC of the second group to increase;
receiving, by the computing device, a third reading of the SOC of each of the plurality of battery packs;
determining, by the computing device, that a third reading of the SOC of the first group and a third reading of the SOC of the second group each satisfy the second SOC threshold.
8. The method of claim 7 , further comprising:
performing one or more iterations of the following steps until a determined updated SOC variability of the plurality of battery packs satisfies the SOC variability threshold:
identifying, by the computing device,
an Nth group of one or more battery packs of the plurality of battery packs, wherein the Nth group has a lowest level of a previous reading of the SOC of the plurality of battery packs, and
an (N+1) group of one or more battery packs of the plurality of battery packs, wherein the (N+1) group has the second lowest level of the previous reading of the SOC of the plurality of battery packs, and
generating, by the computing device, a list comprising the N group and the N+1 group;
determining, by the computing device, that a SOC variability of the list does not satisfy the SOC variability threshold;
establishing, by the computing device, a SOC threshold using the previous reading of the SOC of the N+1 group;
causing, by the computing device and via the electric charge arrays, charging of the N group to cause the SOC of the N group to increase and satisfy the SOC threshold;
receiving, by the computing device, a subsequent reading of a SOC of each of the plurality of battery packs; and
determining, by the computing device and based on the subsequent reading of the SOC of each of the plurality of battery packs, the updated SOC variability of the plurality of battery packs.
9. The method of claim 1 , further comprising:
prior to the receiving the first reading of the SOC of each of the plurality of battery packs, determining that an interlock safety pin associated with the plurality of battery packs is set to on, wherein the interlock safety pin allows the receiving the first reading of the SOC of each of the plurality of battery pack to occur.
10. The method of claim 1 , further comprising:
prior to the causing the charging, determining that a wake pin associated with the plurality of battery packs is set to on, wherein the wake pin allows the charging to occur.