http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113447817-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d6a6f422b091ba12ea61d4adbf1b0e8e
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01R31-36
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01R31-36
filingDate 2021-05-13-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_defd63244c8d91e669f364582555330e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e01fc73a9a38fc4fbac2ea4b5b76ceea
publicationDate 2021-09-28-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-113447817-A
titleOfInvention An online life prediction method for lithium batteries based on two-point life characteristics
abstract The invention discloses a lithium battery online life prediction method based on two-point life characteristics. The present invention includes the following steps: 1. collecting the charging voltage, charging capacity and service life of a brand-new lithium battery in different charge-discharging cycles, and obtaining two corresponding voltage-capacity curves; 2. calculating and obtaining the capacity difference curve of the current lithium battery; 3. calculating all charging Two-point life characteristics corresponding to the voltage combination; 4. Repeat steps 1-3 to obtain the life of each lithium battery and the two-point life characteristics corresponding to all charging voltage combinations of each lithium battery; 5. Select the best charging voltage combination and the best two-point life Life characteristics constitute the training set; 6. Obtain the regression model for predicting the life of the lithium battery after training; 7. During online diagnosis, collect and obtain the best two-point life characteristics to be predicted for the lithium battery to be predicted, and the prediction output obtains the current lithium battery to be predicted. life. The invention realizes the accurate prediction of the life of the lithium battery, and improves the reliability, safety and durability of the lithium battery.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022237660-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022237661-A1
priorityDate 2021-05-13-04:00^^<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: 16.