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1. (WO2019006995) INTELLIGENT PREDICTION SYSTEM FOR POWER BATTERY SOC OF ELECTRIC VEHICLE
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Pub. No.: WO/2019/006995 International Application No.: PCT/CN2017/116819
Publication Date: 10.01.2019 International Filing Date: 18.12.2017
IPC:
G01R 31/36 (2006.01) ,B60L 11/18 (2006.01)
G PHYSICS
01
MEASURING; TESTING
R
MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
31
Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
36
Apparatus for testing electrical condition of accumulators or electric batteries, e.g. capacity or charge condition
B PERFORMING OPERATIONS; TRANSPORTING
60
VEHICLES IN GENERAL
L
PROPULSION 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
11
Electric propulsion with power supplied within the vehicle
18
using power supplied from primary cells, secondary cells, or fuel cells
Applicants:
淮阴工学院 HUAIYIN INSTITUTE OF TECHNOLOGY [CN/CN]; 中国江苏省淮安市 经济技术开发区枚乘路1号 No. 1 Meicheng Road Economic and Technological Development Zone Huaian, Jiangsu 223005, CN
Inventors:
马从国 MA, Congguo; CN
王业琴 WANG, Yeqing; CN
王建国 WANG, Jianguo; CN
陈亚娟 CHEN, Yajuan; CN
杨玉东 YANG, Yudong; CN
Agent:
淮安市科文知识产权事务所 HUAIAN KEWEN INTELLECTUAL PROPERTY OFFICE; 中国江苏省淮安市 水渡口大道万达广场万达中心(写字楼)810室 Building Room 810, Water ferry Avenue Wanda Center office, Wanda Plaza Huaian, Jiangsu 223001, CN
李锋 LI, Feng; CN
Priority Data:
201710548650.307.07.2017CN
Title (EN) INTELLIGENT PREDICTION SYSTEM FOR POWER BATTERY SOC OF ELECTRIC VEHICLE
(FR) SYSTÈME DE PRÉDICTION INTELLIGENT DU SOC D'UNE BATTERIE D'ALIMENTATION DE VÉHICULE ÉLECTRIQUE
(ZH) 一种电动汽车动力电池SOC智能化预测系统
Abstract:
(EN) Provided is an intelligent prediction system for a power battery SOC of an electric vehicle, the intelligent prediction system comprising a battery parameter collection platform and a battery SOC prediction system, wherein the battery parameter collection platform is used for collecting real-time parameters of the voltage, current and temperature of a vehicle power battery pack and an ambient temperature; and the battery SOC prediction system predicts, through the collected real-time parameters, a battery SOC value. The battery SOC is a real-time system which is non-linear, time-delayed, multi-variable coupled and complex, with high demands on real time performance. The intelligent prediction system effectively solves the problem that it is difficult for a conventional prediction device to obtain an ideal effect of battery SOC prediction accuracy.
(FR) La présente invention concerne un système de prédiction intelligent du SOC d'une batterie d'alimentation d'un véhicule électrique, le système de prédiction intelligent comprenant une plateforme de collecte de paramètres de batterie et un système de prédiction de SOC de batterie, la plateforme de collecte de paramètres de batterie étant utilisée pour collecter des paramètres en temps réel, tels que la tension, le courant et la température, d'un bloc-batterie d'alimentation de véhicule et une température ambiante; et le système de prédiction de SOC de batterie prédit, grâce aux paramètres collectés en temps réel, une valeur de SOC de batterie. Le SOC d'une batterie est un système en temps réel qui est non linéaire, retardé dans le temps, couplé à plusieurs variables et complexe, avec des demandes élevées en performances en temps réel. Le système de prédiction intelligent résout efficacement le problème selon lequel il est difficile pour un dispositif de prédiction classique d'obtenir un effet idéal de précision de prédiction de SOC d'une batterie.
(ZH) 一种电动汽车动力电池SOC智能化预测系统,智能化预测系统包括电池参数采集平台和电池SOC预测系统,电池参数采集平台用于采集汽车动力电池组电压、电流、温度和环境温度的实时参数,电池SOC预测系统通过采集的实时参数来预测电池SOC值;电池SOC是一个非线性的、延时的、多变量耦合和复杂的实时系统,实时性要求非常高,智能化预测系统有效解决了常规的预测装置难以取得电池SOC预测精度理想效果的问题。
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: Chinese (ZH)
Filing Language: Chinese (ZH)