GB/T 45415-2025Defect analysis methods for battery electric vehicles fire accidents (English PDF)
纯电动汽车火灾缺陷分析方法
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Issued by
SAMR; SAC
Level / Type
National · Recommended
Issue date
February 28, 2025
Implementation date
February 28, 2025
Scope
GB/T 45415-2025 is the English-translated version of 纯电动汽车火灾缺陷分析方法.
GB/T 45415-2025 is the Chinese method for analysing fires in battery electric vehicles and deciding whether a safety defect caused them. It is a document that did not need to exist ten years ago, and it exists now because an electric vehicle fire is different in kind from a petrol one: it can start without an ignition source, it can start hours after the vehicle stopped, it reignites, and the evidence is largely destroyed by the event itself. The standard sets out the collection and preservation of evidence from a burnt vehicle, the identification of the origin of the fire within the battery pack or elsewhere in the vehicle, the examination of the cells, the modules, the battery management system, the charging interface and the high voltage circuits, the analysis of the vehicle and charging data, and the reasoning that separates a cell defect, a manufacturing defect, a design defect, external damage and misuse. For a manufacturer, a battery supplier, an insurer or a regulator dealing with an EV fire in China, this is the analytical framework.
Document preview — GB/T 45415-2025
National Standard of the People's Republic of China
Issued by: State Administration for Market Regulation; Standardization Administration of the PRC
Contents
- Foreword...3
- 1 Scope...4
- 2 Normative references...4
- 3 Terms and definitions...4
- 4 General principles...6
- 5 Analysis procedures...7
- 6 In-depth analysis of fire accident information...8
- 6.1 General...8
- 6.2 Fire accident information collection...8
- 6.3 Accident information integration and mining...10
- 6.4 Identify failure cause...10
- 7 Batch vehicle information analysis...10
- 7.1 Batch vehicle information collection...10
- 7.2 Batch vehicle data analysis...11
- 7.3 Identify failure cause...12
- 8 Defect engineering analysis and test...12
- 8.1 General...12
- 8.2 Collection of accident vehicle wreckage and vehicles/parts of the same model and batch...12
- 8.3 Defect engineering analysis and test...13
- 8.4 Identify failure cause...13
- 9 Defect identification and judgement...13
- 25 Bibliography...26
Foreword
This document was drafted in accordance with the provisions of GB/T 1.1-2020 "Directives for standardization - Part
1.Rules for the structure and drafting of standardizing documents". Attention is drawn to the possibility that some of the elements of this document may be the subject of patent rights. The issuing authority of this document shall not be held responsible for identifying any or all such patent rights. This document was proposed by and shall be under the jurisdiction of National Technical Committee on Product Defects and Safety Management of Standardization Administration of China (SAC/TC 463). Drafting organizations of this document. State Administration for Market Regulation Defective Product Recall Technical Center, China Automotive Engineering Research Institute Co., Ltd., Beijing CARI Technology Co., Ltd., Contemporary Amperex Technology Co., Ltd., Tianjin Fire Science and Technology Research Institute of MEM, Beijing University of Aeronautics and Astronautics, Xihua University, BYD Auto Industry Co., Ltd., China Certification & Inspection (Group) Co., Ltd., Deep Blue Automotive Technology Co., Ltd., Huizhou EVE Energy Co., Ltd., CALB Group Co., Ltd., Hozon New Energy Automobile Co., Ltd., Beijing CHJ Automotive Technology Co., Ltd., Shanghai NEXTEV Automobile Co., Ltd., VOYAH Automobile Technology Co., Ltd., WREMT Electric Vehicle Technology (Ningbo) Co., Ltd., Great Wall Motor Co., Ltd., Beijing Benz Automotive Co., Ltd., Hefei Gotion High-tech Power Energy Co., Ltd., BAIC Foton Motor Co., Ltd., Shanghai Motor Vehicle Inspection Certification & Tech Innovation Center Co., Ltd., China People's Police University, China Merchants Testing Vehicle Technology Research Institute Co., Ltd., SAIC-GM- Wuling Automobile Co., Ltd., Teld New Energy Co., Ltd., CARI New Energy Technology Co., Ltd., University of Science and Technology of China, Southwest Jiaotong University, Beijing Institute of Technology, Guangzhou Energy Testing Institute, Chongqing Institute of Quality and Standardization, Chongqing LIVAN Automobile Technology Co., Ltd. Main drafters of this document. Li Yan, Wan Xinming, Xiao Lingyun, Dong Honglei, Liang Xinmiao, Li Wei, Xu Jinze, Yang Shichun, Wang Peng, Wang Yan, Xi Ming, He Xing, Zhang Liang, Ren Yi, Hu Wenhao, Zhao Xing, Lu Zhibao, Liu Zhengang, Li Wenzhao, Li Pingfei, Zhou Chengyong, Xu Yuhong, Wang Qing, Shi Pengyu, Lin Weiyi, Chen Ran, Gu Fenghua, Chen Chen, Sun Quan, Bao Longzhai, Zhao Jian, Ma Liuke, Lin Ye, Li Jiale, Yan Lei, Meng Xiangfeng, Shen Chi, Xue Guozheng, Wang Dong, Lin Dun, Zhao Zhiwei, Shao Dan, Ma Jiansheng, Guo Fenggang, Bao Huanhuan, Wang Qingsong, Deng Pengyi, Cheng Ximing, Liu Fujian, Ma Ruijun, Yuan Changrong, Tan Yuntao, Chen Bin, Hu Qingao, Chen Fei, Lu Yuliang, Li Jiayao, Zhang Desheng, Wang Zhaojun, Zhu Yunyao, Li Yifan. Defect analysis methods for battery electric vehicles fire accidents
1 Scope
GB/T 45415-2025 is the Chinese method for analysing fires in battery electric vehicles and deciding whether a safety defect caused them. It is a document that did not need to exist ten years ago, and it exists now because an electric vehicle fire is different in kind from a petrol one: it can start without an ignition source, it can start hours after the vehicle stopped, it reignites, and the evidence is largely destroyed by the event itself. The standard sets out the collection and preservation of evidence from a burnt vehicle, the identification of the origin of the fire within the battery pack or elsewhere in the vehicle, the examination of the cells, the modules, the battery management system, the charging interface and the high voltage circuits, the analysis of the vehicle and charging data, and the reasoning that separates a cell defect, a manufacturing defect, a design defect, external damage and misuse. For a manufacturer, a battery supplier, an insurer or a regulator dealing with an EV fire in China, this is the analytical framework.
This document establishes the analysis procedure for defect analysis of battery electric vehicle fire accidents, and describes the in-depth analysis method for battery electric vehicle fire accident information, batch vehicle information analysis method, defect engineering analysis and test method, defect identification and judgment, and defect analysis report content. This document applies to the defect analysis of battery electric vehicle fire accidents. It is used as a reference for the defect analysis of other types of electric vehicle fire accidents.
2 Normative references
The following referenced documents are indispensable for the application of this document. For dated references, only the edition cited applies. For undated references, the latest edition of the referenced document (including any amendments) applies.
GB/T 5907.1 Fire protection vocabulary - Part
3 Terms and definitions
For the purpose of this document, the terms and definitions defined in GB/T 5907.1, GB/T 19596, GB 38031, GB/T 43387 and GB/T 43388 and the following apply.
6 In-depth analysis of fire accident information
6.1 General Based on the on-site investigation of one or more fire accidents of battery electric vehicles of the same model and batch, collect basic information on battery electric vehicle fire accidents, accident vehicle data information, accident scene investigation information, accident evidence analysis information and other relevant information, comprehensively analyze the fault mode, and identify the fire failure cause.
6.2 Fire accident information collection
6.2.1 Basic accident information Basic accident information generally includes but is not limited to. - accident information. accident time, accident location, accident vehicle status and driving conditions, accident vehicle power, casualties, accident vehicle storage location, accident scene video, etc.; - accident process information. information of processes such as vehicle fire accident occurrence, discovery, firefighting; - accident disposal information. storage, towing and disposal of accident vehicles after fire extinguishing, etc.; - fire investigation information. information obtained through investigation in accordance with the requirements of XF/T 812, such as other traffic accidents that occurred before the fire accident, chassis collision, wading, soaking in water, battery replacement or repair, vehicle modification and installation, etc., preliminary analysis and judgment of the cause of the fire accident, etc.; - accident vehicle dealer information. dealer registration name, contact number, mailing address, accident vehicle sales date, etc.
6.2.2 Accident vehicle data information Accident vehicle data information generally includes but is not limited to. - accident vehicle information. electrical system layout of the accident vehicle, power battery layout, maintenance record of the accident vehicle, vehicle operation data and operation cycle data 7 days before the accident, etc.; - accident vehicle operation cycle data analysis information. analysis of vehicle usage such as fast charging ratio, maximum charging current, daily mileage, total mileage, insulation changes, historical alarm information, battery abuse, etc. of the accident vehicle, as well as safety parameter correlation analysis, consistency analysis, etc.; - accident vehicle power battery information. location, manufacturer, nominal total capacity, nominal total voltage, total weight, charging power, system thermal management form, series-parallel type, number and layout of voltage and temperature sensors of the power battery; manufacturer, specification and model, nominal capacity, cell weight, maximum sustainable charge and discharge power, maximum sustainable charge and discharge current, battery electrochemical system, positive electrode material type of the battery cell; module location, module manufacturer, software manufacturer, hardware manufacturer, etc. of the battery management system.
6.2.3 Accident scene investigation information Accident scene investigation information generally includes but is not limited to. - accident data pre-analysis information. safety parameter correlation analysis of vehicle operating total voltage, total current, battery temperature, insulation resistance, and background monitoring fault information 7 days before the accident, as well as parameter consistency analysis of battery cell voltage, temperature probe monitoring value, etc.; - accident investigation information. analysis of burn damage and residual traces of accident vehicle body, power compartment, trunk, chassis, passenger compartment, main parts such as battery, motor, electronic control, and charging socket, data analysis of charging piles of accident vehicles in charging state, fire spread trend and fire location judgment, etc.; - accident vehicle fault mode and accident cause analysis information. accident vehicle fault mode identification process, fire cause.
6.2.4 Accident evidence analysis information Accident evidence analysis information generally includes but is not limited to. - electrical short circuit trace analysis information. analysis of melting marks caused by vehicle high-voltage wiring harness, low-voltage wiring harness and its connectors, and analysis of melting marks of charging piles and wiring harnesses; - fire trace analysis information. analysis of melting marks caused by fire on vehicle wiring harnesses, plastic parts, etc.; - battery pack burn analysis information. analysis of battery pack shell, battery pack internal parts and wiring harness burn conditions, analysis of mechanical deformation and arcing of structural parts, modules or cells in battery packs, production date, vehicle registration date, vehicle nature, vehicle category, power type, chassis type; production and manufacturing data, operation cycle data, fault and maintenance information of some vehicles; - power battery information. battery cell supplier, module supplier, battery pack supplier, battery management system software/hardware supplier, battery cell shape, battery cell model, battery cell type, battery cell positive and negative electrode materials, battery cell electrolyte composition, battery cell charge and discharge power/current limit table, battery pack internal module series-parallel mode, battery pack internal high and low voltage layout diagram, battery pack internal module and battery cell layout diagram, battery pack internal temperature and voltage sensor quantity and location, battery pack tray material, battery pack waterproof design, battery system cooling form, battery system flame retardant coefficient, battery system fuse curve, production and manufacturing process data of some batteries and battery systems; - motor system information. motor type, rated voltage, no-load current, rated current, starting current, maximum continuous current, rated power, maximum output power, rated speed, no-load speed, maximum speed, rated torque, maximum torque; - electric control system information. software/hardware supplier, rated voltage, rated current.
7.1.2 Production and manufacturing data, operation cycle data, fault and maintenance information of some vehicles, and production and manufacturing process data of some battery cells and battery systems should be randomly sampled from batches of vehicles with similar operating conditions to the accident vehicle. The specific sampling quantity is determined based on the results of the previous in-depth investigation and analysis of the accident and the proposed analysis method to ensure the scientificity and rationality of the analysis.
7.2 Batch vehicle data analysis Systematically research the batch vehicle information collected in 7.1, by referring to the analysis methods given in Annex A, analyze the vehicle operation cycle data through the data platform to identify the common fault modes existing in vehicles of the same model, same batch or using the same parts. The batch vehicle data analysis process is shown in Figure 3. - vehicle parts of the same model and batch. parts disassembled from vehicles of the same model, same parts configuration, same vehicle production batch and parts production batch, and same vehicle three-electric system software version as the accident vehicle, including but not limited to the hardware and software of major parts such as batteries, motors, and electronic controls.
8 Defect engineering analysis and test...
8.3 Defect engineering analysis and test
8.3.1 Accident vehicle wreckage test analysis The accident vehicle wreckage test analysis shall analyze and disassemble wreckage parts such as battery, motor, electronic control, high and low voltage wiring harness of the accident vehicle, and refer to the analysis methods given in Annex B to measure, test, sample, and analyze the abnormal parts.
8.3.2 Analysis of in-use vehicles adjacent to the accident vehicle Select 5 in-use vehicles from the same batch as the fire fault parts of the accident vehicle and before and after the vehicle was produced, and perform test, analysis, and disassembly on vehicle parts of the same model. Refer to the analysis methods given in Annex B to measure, test, sample, and analyze the abnormal parts found.
8.3.3 New vehicle comparative analysis The new vehicle comparative analysis shall be performed on the latest vehicles or parts of the same model as the accident vehicle for assembly inspection, performance test and analysis, fault injection test, disassembly analysis, etc., and refer to the analysis methods given in Annex B to measure, test, sample and analyze the abnormal parts found.
8.4 Identify failure cause Combining the analysis results of 6.3,
7.2 and 8.3, identify the failure cause. - if the failure cause can be identified, it should carry out defect identification and judgement in accordance with the requirements of Clause 9; - if the failure cause cannot be identified, terminate the defect analysis, form a complete defect analysis report, and it should repeat the identification in accordance with the method described in Clause 6.
9 Defect identification and judgement
During the defect identification and judgement process, it is necessary to determine whether the failure of battery electric vehicle fire is related to the design, manufacturing or labeling, etc. of the product itself.
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This preview omits tables, figures, formulas and parts of the technical clauses. The complete document — 30 pages — is available in the English PDF.
Referenced standards
Normative references
- GB/T 5907.1Fire protection vocabulary - Part 1: General terms
- GB/T 19596Terminology of electric vehicles
- GB/T 34402Risk assessment and risk control of motor vehicle product safety
- GB 38031Electric vehicles traction battery safety requirements
- GB/T 43387Product recall - Vocabulary
- GB/T 43388Judgment guidelines for serious safety-related fault of household automobile
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Related Standards
GB 38031-2025 — Electric vehicles traction battery safety requirements
GB/T 19596-2017 — Terminology of electric vehicles
GB/T 34402-2017 — Risk assessment and risk control of motor vehicle product safety
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GB/T 45415-2025
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