TPMS Patent Strategy
XSD TPMS Invention Patent Portfolio: VIN Programming, BLE Recognition and AI Relearn
A patent portfolio roadmap for TPMS sensor companies focused on automatic programming, Tesla BLE service workflows, cloud vehicle coverage data and installation quality assessment.
Patent Strategy Positioning
For XSD Precision’s TPMS direction, stronger invention patents should start from industry pain points rather than simple product appearance or structural changes. This preliminary planning is for R&D and documentation strategy only; formal patent filing still requires novelty search, claim drafting and legal review.
| Business focus | Universal TPMS sensors, Tesla BLE sensors, TPMS programming tools, European and North American aftermarket channels and XSD Precision brand building. |
|---|---|
| Recommended route | Build software-driven invention patents around programming automation, vehicle recognition, cloud data, relearn success rate and installation verification. |
| Avoided route | Do not rely mainly on simple exterior design, generic sensor shell structure or ordinary accessory structures. |
Direction 1: AI Automatic Programming
| Industry pain point | Technicians usually select brand, model, year, protocol and programming mode manually, which creates selection errors. |
|---|---|
| Patent topic | A TPMS automatic programming method based on VIN. |
| Implementation logic | Scan VIN -> cloud parsing -> automatic protocol matching -> write data into sensor. |
| Market value | Very high; this is a core workflow improvement for TPMS programming tools. |
Direction 2: BLE Automatic Vehicle Recognition
| Industry pain point | Tesla BLE TPMS service often still requires manual selection of model, year and BLE protocol. |
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| Patent topic | A vehicle automatic recognition method based on BLE broadcast characteristics. |
| Implementation logic | Receive vehicle BLE signal -> analyze broadcast packet -> identify vehicle model -> automatically select protocol. |
| Market value | Very high for Tesla BLE sensor programs and future BLE TPMS service workflows. |
Direction 3: Installation Success Rate Prediction
| Industry pain point | Before service, technicians often do not know whether a specific vehicle can complete relearn successfully in one attempt. |
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| Patent topic | A TPMS relearn success rate prediction method. |
| Implementation logic | Vehicle model -> historical cases -> AI analysis -> recommend best relearn workflow. |
| Market value | Very high; this is a good software-invention topic and can be paired with a case-analysis system. |
Direction 4: Cloud Vehicle Coverage Database
| Industry pain point | New vehicle coverage changes quickly, and offline tool databases can become outdated. |
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| Patent topic | A TPMS vehicle coverage database update system based on cloud crowdsourcing. |
| Implementation logic | Shop uploads case -> cloud verifies data -> database updates -> devices synchronize. |
| Market value | Very high; the database can become a long-term platform barrier. |
Direction 5: BLE + 433 Multi-Protocol Sensor
| Industry pain point | The aftermarket may need 315MHz, 433MHz and BLE TPMS technologies to coexist. |
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| Patent topic | A multi-protocol tire pressure sensor and switching method. |
| Implementation logic | Automatically identify service environment -> select or switch the proper protocol. |
| Market value | High; suitable for universal sensor product planning. |
Direction 6: Long-Life Battery Control
| Industry pain point | Sensor battery life limits replacement cycles and customer experience. |
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| Patent topic | A TPMS low-power control method based on vehicle usage habits. |
| Implementation logic | Parking -> deep sleep; driving -> dynamic wake-up; service event -> active reporting. |
| Target | Extend service life from about 7 years toward 10 years or more, depending on hardware and field conditions. |
Direction 7: Installation Quality Assessment
| Industry pain point | Tire shops need a fast way to confirm whether TPMS installation, programming and relearn were successful. |
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| Patent topic | An automatic TPMS installation quality assessment method. |
| Implementation logic | After installation, automatically output signal strength, battery status, relearn status and service report. |
| Market value | Very high; easy to commercialize for tire shops and service networks. |
Direction 8: Anti-Cloning Identity Authentication
| Industry pain point | OEM and higher-security markets may require stronger protection against unauthorized sensor copying. |
|---|---|
| Patent topic | A TPMS identity authentication method. |
| Implementation logic | Unique identity code + encrypted authentication + tool-side validation. |
| Market value | High; more suitable for OEM cooperation and secure sensor programs. |
Recommended XSD Patent Portfolio
| Invention 1 | VIN automatic programming system. |
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| Invention 2 | BLE automatic vehicle recognition system. |
| Invention 3 | AI TPMS relearn recommendation system. |
| Invention 4 | Cloud vehicle coverage database update system. |
| Invention 5 | TPMS installation quality inspection system. |
| Supporting utility models | Sensor structure, valve stem structure and antenna structure. |
Patent Value Tiers for XSD TPMS Brand
| Tier 1: BLE automatic recognition programming | Patent name example: TPMS automatic recognition and programming method based on BLE broadcast characteristics. It reads vehicle BLE features, identifies the vehicle model, selects the protocol and writes the sensor automatically. Value: very high. |
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| Tier 1: Cloud vehicle database update | Patent name example: dynamic cloud update method for TPMS vehicle coverage database. Shop cases are uploaded, analyzed in the cloud, converted into database updates and synchronized to terminal devices. Value: very high. |
| Tier 1: AI Relearn recommendation | Patent name example: TPMS relearn workflow recommendation method based on historical cases. It reduces relearn failure by recommending the best workflow for a specific vehicle. Value: very high. |
| Tier 2: Tesla BLE compatible sensor architecture | Patent name example: tire pressure monitoring sensor compatible with multiple generations of BLE protocols. Firmware can dynamically switch to support Tesla, Rivian, Lucid and future BLE platforms. Value: high. |
| Tier 2: Dual-frequency auto switching | Patent name example: 315MHz/433MHz automatic recognition and transmission method. The sensor identifies region or service environment and switches frequency to reduce SKU complexity. Value: high. |
| Tier 2: Low-power algorithm | Patent name example: TPMS sensor sleep and wake-up control method. The target is to extend battery life from about 7 years toward 10 years. Value: high. |
| Tier 3: OTA-upgrade TPMS | Patent name example: TPMS system supporting wireless firmware upgrade through phone app and sensor-side upgrade logic. Value: high and future-oriented. |
| Tier 3: TPMS installation quality detection | Patent name example: automatic TPMS installation status detection method. It checks signal strength, battery state and relearn success rate after installation. Value: high for tire shops. |
| Tier 4: Sensor structure and anti-cloning | Sensor, valve, waterproof, antenna and battery-fixing structures help defend against copying; TPMS identity authentication and anti-cloning methods are more suitable for future OEM programs. |
Three-Year IP Layout
| Invention patents | BLE automatic recognition programming, AI Relearn recommendation, cloud database update, OTA-upgrade TPMS and dual-frequency automatic switching. |
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| Utility models | Sensor structure, valve structure, waterproof structure, antenna structure and battery fixing structure. |
| Software copyrights | XSD TPMS Studio, XSD Vehicle Coverage Database, XSD BLE Programmer and XSD Cloud Platform. |
| Priority investment | BLE automatic recognition programming + AI Relearn recommendation + cloud vehicle database, because these directions can create differentiation against Autel, Launch, ATEQ and similar brands. |
Budget-Controlled Filing Package
| Suggested budget band | RMB 50,000-100,000 as a practical early-stage planning range, depending on filing regions and agency scope. |
|---|---|
| Core package | 1 core invention patent + 3 utility models + 2 software copyrights. |
| Best core invention | VIN automatic programming or AI relearn recommendation, because both connect directly to TPMS tool workflow and software copyright materials. |
| Enterprise value | This combination can support technology SME records, high-tech enterprise preparation and XSD Precision brand IP accumulation. |
Planning TPMS software, sensor or tool patents?
Send your sensor roadmap, programming workflow, BLE plan, vehicle coverage data and installation service process. XSD can help structure technical documents and engineering review materials.
TPMS发明专利布局
XSD TPMS发明专利布局:VIN自动编程、BLE识别与AI Relearn推荐
围绕通用胎压传感器、Tesla BLE Sensor、TPMS编程工具和欧美售后市场,构建软件驱动型发明专利组合。
专利策略定位
结合 XSD Precision 当前的 TPMS Sensor、Tesla BLE Sensor、TPMS编程工具、欧美售后市场和品牌建设方向,建议不要从简单产品结构出发申请专利,而要从行业痛点出发,布局更有价值的发明专利。以下为研发和知识产权规划建议,正式申请仍需做新颖性检索、权利要求撰写和法律审查。
| 业务方向 | 通用胎压传感器、Tesla BLE Sensor、TPMS编程工具、欧美售后渠道和XSD Precision品牌建设。 |
|---|---|
| 推荐路线 | 围绕自动编程、车辆识别、云数据库、学习成功率预测和安装质量检测,形成软件驱动型发明专利组合。 |
| 不建议路线 | 不建议主要依赖普通外观、简单Sensor壳体结构或一般配件结构作为核心专利。 |
方向一:AI自动编程
| 行业痛点 | 目前技师通常需要手动选择品牌、车型、年款、协议和编程模式,容易选错。 |
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| 专利方向 | 一种基于VIN的TPMS自动编程方法。 |
| 实现逻辑 | 扫描VIN -> 云端解析 -> 自动匹配协议 -> 自动写入Sensor。 |
| 市场价值 | ★★★★★,适合作为TPMS编程工具的核心发明专利。 |
方向二:BLE自动识别
| 行业痛点 | Tesla BLE TPMS服务仍经常需要人工选择Tesla车型、年款和BLE协议。 |
|---|---|
| 专利方向 | 一种基于BLE广播特征的车辆自动识别方法。 |
| 实现逻辑 | 接收车辆BLE信号 -> 分析广播包 -> 识别车型 -> 自动选择协议。 |
| 市场价值 | ★★★★★,适合Tesla BLE Sensor和未来BLE TPMS服务流程。 |
方向三:安装成功率预测
| 行业痛点 | 技师在服务前往往不知道某个车型能否一次学习成功。 |
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| 专利方向 | 一种TPMS学习成功率预测方法。 |
| 实现逻辑 | 车型 -> 历史案例 -> AI分析 -> 推荐最佳Relearn流程。 |
| 市场价值 | ★★★★★,很适合写成软件发明,并与案例分析系统配套。 |
方向四:云数据库
| 行业痛点 | 新车型更新很快,离线设备数据库容易过时。 |
|---|---|
| 专利方向 | 一种基于云端众包的TPMS车型数据库更新系统。 |
| 实现逻辑 | 门店上传案例 -> 云端验证 -> 自动更新数据库 -> 同步设备。 |
| 市场价值 | ★★★★★,车型数据库有机会成为长期平台壁垒。 |
方向五:BLE+433双协议Sensor
| 行业痛点 | 未来售后市场中315MHz、433MHz和BLE可能长期并存。 |
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| 专利方向 | 一种多协议胎压传感器及切换方法。 |
| 实现逻辑 | 自动识别使用环境 -> 选择或切换对应协议。 |
| 市场价值 | ★★★★☆,适合通用Sensor产品路线。 |
方向六:超长寿命电池
| 行业痛点 | Sensor电池寿命直接影响替换周期和客户体验。 |
|---|---|
| 专利方向 | 一种基于车辆使用习惯的TPMS低功耗控制方法。 |
| 实现逻辑 | 停车 -> 深度休眠;行驶 -> 动态唤醒;服务事件 -> 主动上报。 |
| 目标 | 在硬件和实际工况允许的前提下,将寿命从约7年提升到10年以上。 |
方向七:安装检测系统
| 行业痛点 | 轮胎店需要快速确认TPMS安装、编程和学习是否成功。 |
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| 专利方向 | 一种TPMS安装质量自动评估方法。 |
| 实现逻辑 | 安装完成后,自动输出信号强度、电池状态、学习状态和服务报告。 |
| 市场价值 | ★★★★★,非常适合轮胎店和服务网络商业化。 |
方向八:防克隆技术
| 行业痛点 | 未来OEM市场和高安全场景需要避免非法复制Sensor身份。 |
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| 专利方向 | 一种TPMS身份认证方法。 |
| 实现逻辑 | 唯一身份码 + 加密认证 + 工具端验证。 |
| 市场价值 | ★★★★☆,更适合OEM合作和安全型Sensor项目。 |
最适合XSD Precision的首批专利组合
| 发明1 | VIN自动编程系统。 |
|---|---|
| 发明2 | BLE自动识别系统。 |
| 发明3 | AI Relearn推荐系统。 |
| 发明4 | 云数据库更新系统。 |
| 发明5 | TPMS安装质量检测系统。 |
| 配套实用新型 | Sensor结构、阀嘴结构、天线结构。 |
XSD TPMS品牌专利价值梯队
| 第一梯队:BLE自动识别车型编程方法 | 发明名称示例:一种基于BLE广播特征的TPMS自动识别与编程方法。读取车辆BLE特征,自动识别车型,自动选择协议并写入Sensor。价值:★★★★★。 |
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| 第一梯队:云端车型数据库更新系统 | 发明名称示例:一种TPMS车型数据库云端动态更新方法。门店上传案例,云端分析,数据库自动更新并同步终端设备。价值:★★★★★。 |
| 第一梯队:AI Relearn推荐系统 | 发明名称示例:一种基于历史案例的TPMS学习流程推荐方法。针对具体车型自动推荐最佳Relearn流程,降低学习失败率。价值:★★★★★。 |
| 第二梯队:Tesla BLE兼容Sensor架构 | 发明名称示例:一种兼容多代BLE协议的胎压监测传感器。通过Firmware动态切换,支持Tesla、Rivian、Lucid和未来BLE平台。价值:★★★★☆。 |
| 第二梯队:双频自动切换技术 | 发明名称示例:一种315MHz/433MHz自动识别发射方法。自动识别区域并切换频段,减少SKU。价值:★★★★☆。 |
| 第二梯队:低功耗算法 | 发明名称示例:一种TPMS传感器休眠与唤醒控制方法。目标是将电池寿命从约7年提升到10年。价值:★★★★☆。 |
| 第三梯队:OTA升级TPMS | 发明名称示例:一种支持无线升级的TPMS系统。通过手机APP与Sensor升级逻辑实现固件OTA。价值:★★★★☆。 |
| 第三梯队:TPMS安装质量检测 | 发明名称示例:一种TPMS安装状态自动检测方法。安装后自动判断信号强度、电池状态和Relearn成功率。价值:★★★★☆。 |
| 第四梯队:Sensor结构与防克隆算法 | Sensor防漏气结构、防腐蚀阀嘴、可拆卸结构主要用于防抄袭;TPMS身份认证与防克隆方法更适合未来OEM市场。 |
未来3年知识产权布局
| 发明专利 | BLE自动识别编程、AI Relearn推荐、云数据库更新、OTA升级TPMS、双频自动切换。 |
|---|---|
| 实用新型 | Sensor结构、Valve结构、防水结构、天线结构、电池固定结构。 |
| 软件著作权 | XSD TPMS Studio、XSD Vehicle Coverage Database、XSD BLE Programmer、XSD Cloud Platform。 |
| 优先投入 | BLE自动识别编程 + AI Relearn推荐 + 云车型数据库,因为这些方向目前行业公开布局还不算拥挤,并且能直接形成与Autel、Launch、ATEQ等品牌差异化的核心竞争力。 |
预算控制下的优先组合
| 预算区间 | 如果预算控制在5万-10万元人民币,可优先做投入产出比最高的基础组合。 |
|---|---|
| 核心组合 | 1个核心发明专利 + 3个实用新型 + 2个软件著作权。 |
| 首选核心发明 | VIN自动编程或AI Relearn推荐,因为这两个方向直接连接TPMS编程工具流程和软著材料。 |
| 企业价值 | 该组合可支撑科技型中小企业、高新技术企业申报准备和XSD Precision品牌知识产权积累。 |
需要TPMS软件、传感器或工具专利资料支持?
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