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1. WO2022021062 - REMAINING RANGE PREDICTION METHOD AND BATTERY REMOTE SERVICE SYSTEM

Publication Number WO/2022/021062
Publication Date 03.02.2022
International Application No. PCT/CN2020/105168
International Filing Date 28.07.2020
IPC
G01R 31/36 2019.1
GPHYSICS
01MEASURING; TESTING
RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
31Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge
B60L 58/12 2019.1
BPERFORMING OPERATIONS; TRANSPORTING
60VEHICLES IN GENERAL
LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
58Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
10for monitoring or controlling batteries
12responding to state of charge
CPC
B60L 2260/52
BPERFORMING OPERATIONS; TRANSPORTING
60VEHICLES IN GENERAL
LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES
2260Operating Modes
40Control modes
50by future state prediction
52drive range estimation, e.g. of estimation of available travel distance
B60L 58/12
BPERFORMING OPERATIONS; TRANSPORTING
60VEHICLES IN GENERAL
LPROPULSION OF ELECTRICALLY-PROPELLED VEHICLES
58Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
10for monitoring or controlling batteries
12responding to state of charge [SoC]
G06K 9/6221
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
6218Clustering techniques
622Non-hierarchical partitioning techniques
6221based on statistics
G06K 9/6234
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
6234based on a discrimination criterion, e.g. discriminant analysis
G06K 9/6247
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
6247based on an approximation criterion, e.g. principal component analysis
G06N 20/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
Applicants
  • 华为技术有限公司 HUAWEI TECHNOLOGIES CO., LTD. [CN]/[CN]
Inventors
  • 程康 CHENG, Kang
  • 王甲佳 WANG, Jiajia
  • 朱泽敏 ZHU, Zemin
  • 仲斐 ZHONG, Fei
Agents
  • 北京龙双利达知识产权代理有限公司 LONGSUN LEAD IP LTD.
Priority Data
Publication Language Chinese (zh)
Filing Language Chinese (ZH)
Designated States
Title
(EN) REMAINING RANGE PREDICTION METHOD AND BATTERY REMOTE SERVICE SYSTEM
(FR) PROCÉDÉ DE PRÉDICTION DE DISTANCE À PARCOURIR RESTANTE ET SYSTÈME DE SERVICE À DISTANCE DE BATTERIE
(ZH) 剩余里程预测的方法和电池远程服务的系统
Abstract
(EN) The present application provides a remaining range prediction method, comprising: constructing a unit SOC drivable distance prediction model by using common vehicle driving feature data, and based on a user feature clustering method, predicting a specified consumed SOC drivable distance by means of average driving features. Therefore, the present application can effectively improve the accuracy of predicting the remaining range of an electric vehicle, and greatly improves the operating performance and operating reliability of the electric vehicle.
(FR) La présente invention concerne un procédé de prédiction de distance à parcourir restante, consistant à : construire un modèle de prédiction de distance pouvant être parcourue de SOC unitaire à l'aide de données de caractéristiques de conduite de véhicule communes, et sur la base d'un procédé de regroupement de caractéristiques d'utilisateur, prédire une distance pouvant être parcourue de SOC consommé spécifique au moyen de caractéristiques de conduite moyennes. Par conséquent, la présente invention permet d'améliorer efficacement la précision de prédiction de la distance à parcourir restante d'un véhicule électrique, et améliore considérablement la performance de fonctionnement et la fiabilité de fonctionnement du véhicule électrique.
(ZH) 本申请提供了一种剩余里程预测的方法,采用了常见的车辆行驶特征数据,构建了单位SOC可行驶距离预测模型,并基于用户特征聚类的方法,通过平均行驶特征来预测指定消耗SOC可行驶距离,从而可以有效的提升电动车剩余里程预测的准确度,大大提高了电动汽车的运行性能和运行可靠性。
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