http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114895209-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d6a6f422b091ba12ea61d4adbf1b0e8e |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02E60-10 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R31-396 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R31-392 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R31-378 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R31-367 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R31-378 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R31-396 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R31-392 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R31-367 |
| filingDate | 2022-05-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_693b6a25c4bbefb37c0453f0d319ea05 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0fccce6c6f6938b0c311767fc6e2fda0 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ffb411ba11fd4da093a348f0ce86ce66 |
| publicationDate | 2022-08-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-114895209-A |
| titleOfInvention | A two-dimensional support domain direct push-type health state prediction method for lithium batteries with few cycles |
| abstract | The invention discloses a two-dimensional support domain direct push-type health state prediction method for lithium batteries with few cycles. This method considers the batch characteristics of multiple batteries of the same type, and uses historical data and batch data to construct a two-dimensional support domain to expand the model information source, thereby providing a coarse range of optional samples for the establishment of the model. The model comprehensively considers the information of offline and online sample feature spaces, divides each sample in detail, and then selects modeling according to the different importance of each sample, so as to solve the problem of health problems when the historical charge-discharge cycle data of lithium batteries is small. The problem of inaccurate state modeling predictions. This method innovatively introduces two-dimensional support domain and transductive modeling to expand and filter the data, and solves the health state prediction problem well in the case of a small amount of circulating data. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116593903-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116593903-B |
| priorityDate | 2022-05-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID3028194 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419559587 |
Total number of triples: 24.