http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115091963-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_48f6be69b4bdd1013f796b195e193b5f |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/B60L2260-44 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/B60L2260-54 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02T90-40 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/B60L3-12 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/B60L3-12 |
| filingDate | 2022-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a8aee385c59cdbef02901d0eba753d04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ee0779124b81919bb550df8fa18f19ef http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c9df4f14da9c27dabbed75e443d71237 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1748cbb921149eec080c5b9a1566a199 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c016972a9e34843afd4b769b527e40e4 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a2f7ee224a2bd79e5b1d0ba4d12dbc33 |
| publicationDate | 2022-09-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-115091963-A |
| titleOfInvention | Energy consumption prediction method of hydrogen fuel cell vehicle based on energy consumption characteristics and working condition segmentation |
| abstract | The invention provides a method for estimating the energy consumption of hydrogen fuel cell vehicles based on energy consumption characteristics and working conditions, which takes into account the characteristics of the two power sources of such vehicles, power battery and fuel cell, and gives full play to the big data of real vehicles. Compared with the existing technology, the process of mining the energy consumption characteristics of the hydrogen fuel system is more targeted. The method comprehensively considers the complexity of the operating conditions during the driving process, and can identify the typical operating conditions during the driving process of the hydrogen fuel vehicle, and calculate the corresponding energy consumption for different typical operating conditions. Energy consumption or average energy consumption over a period of time has higher accuracy. The execution of the method is based on data-driven, and there is no need to know the mechanism of vehicle driving energy consumption. The correlation features extracted according to feature engineering combined with machine learning algorithms can achieve faster and a large number of typical operating conditions energy consumption estimation and future actual driving process energy consumption. consumption forecast. |
| priorityDate | 2022-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 26.