电动汽车车架专利技术数据

通过收集电动汽车车架领域专利申请人、法律状态、技术主题分类、简单同族成员数量等数据，形成了主要包括全球专利数据库中与电动汽车车架相关的发明专利和实用新型专利数据，在结果中筛选关键词电动汽车车架，找出电动汽车车架方向专利数据，并根据自有算法对专利数据进行了评价和分类，可用于了解电动汽车车架专利数据变化情况，有助于了解电动汽车车架知识产权工作成果；通过对各企业/个人电动汽车车架专利数据的对比，可了解各企业/个人的技术创新能力、创新水平差异；了解电动汽车车架的技术发展趋势，有助于企业避免重复研发，避免企业开发的技术侵犯他人的知识产权。1数据来源：全球专利数据库中电动汽车车架相关发明专利、实用新型专利数据。2数据采集：本数据目标层为专利技术相关性，指标层将专利技术相关性指标体系分为市场、技术、法律、战略、经济五大价值维度，检索出有关于电动汽车车架的专利，指标层向下分准则层，包括：技术价值：IPC分类数量、被引用专利数量、授权年限；经济价值：剩余年数、质押次数；法律价值：权利要求数、文献页数；战略价值：发明人数量、简单同族成员数量；市场价值：技术主题分类数、专利类型、是否战略新兴产业。3数据分析：本数据基于AHP层次法，采用定量与定性相结合，将技术关联性按从高到低分为（A、B、C），A为高关联性、B为一般关联性、C为较低关联性。采用综合分值法：战略价值≥50分及以上、经济价值≥20分及以上、市场价值≥50分及以上、法律价值≥60分及以上、技术价值≥30分及以上为A，战略价值40-50分（不含50分）、经济价值≥20分及以上、市场价值≥30分及以上、法律价值≥70分及以上、技术价值≥30分及以上为B，其余为C。4数据应用：为本领域技术人员提供研发决策依据和技术规避作优先参考。

This dataset is compiled by collecting data including patent applicants, legal status, technical subject classifications, and the number of simple patent family members in the field of electric vehicle (EV) frames. It primarily covers invention patents and utility model patents related to EV frames in the global patent database. We first filter the dataset using the keyword "electric vehicle frame" to extract patent data focused on EV frame technologies, then evaluate and classify the patent data via a self-developed algorithm. This dataset enables users to track changes in EV frame patent data and gain insights into the outcomes of intellectual property (IP) work in this domain. By comparing the EV frame patent data of different enterprises or individuals, users can assess their respective technological innovation capabilities and gaps in innovation levels. Additionally, it helps analyze the technological development trends of EV frames, allowing enterprises to avoid redundant R&D and potential intellectual property infringement.

1. Data Source: Data of invention patents and utility model patents related to electric vehicle frames from the global patent database.

2. Data Collection: The target layer of this dataset is patent technology relevance. The indicator layer divides the patent technology relevance evaluation system into five value dimensions: market, technology, legal, strategic, and economic. We retrieve patents related to electric vehicle frames, and the indicator layer is further broken down into criterion layers as detailed below:
- Technological Value: Number of IPC classifications, number of cited patents, years since patent grant
- Economic Value: Remaining patent validity period, number of patent pledges
- Legal Value: Number of claims, number of document pages
- Strategic Value: Number of inventors, number of simple patent family members
- Market Value: Number of technical subject classifications, patent type, whether the patent belongs to strategic emerging industries

3. Data Analysis: This dataset employs the Analytic Hierarchy Process (AHP) method, combining quantitative and qualitative analysis. The technical relevance is categorized into three tiers from high to low: A, B, and C, where Tier A denotes high relevance, Tier B denotes general relevance, and Tier C denotes relatively low relevance. The comprehensive scoring criteria are as follows:
- Tier A: Strategic value ≥ 50 points, economic value ≥ 20 points, market value ≥ 50 points, legal value ≥ 60 points, technological value ≥ 30 points
- Tier B: Strategic value ranges from 40 to 50 points (excluding 50), economic value ≥ 20 points, market value ≥ 30 points, legal value ≥ 70 points, technological value ≥ 30 points
- All remaining cases are categorized as Tier C

4. Data Application: It provides R&D decision-making references and priority guidance for technical infringement avoidance for technicians in the EV frame field.

搜集汇总

数据集介绍

特点

该数据集包含286条电动汽车车架相关的专利数据，涵盖全球发明专利和实用新型专利，通过市场、技术、法律、战略、经济五大价值维度进行评价和分类，适用于研发决策和技术规避参考。