测试验证系统是 Physical AI 的数据闭环入口 Testing systems arethe data loop gateway for Physical AI

新能源测试验证：从工程服务到数据资产New energy testing: from engineering services to data assets

清研精准的新能源测试验证业务不只是"卖设备"——每一套测试系统都是一个持续产生真实物理数据的入口，在提供工程服务的同时，沉淀 Physical AI 的核心数据资产。 Tsing Standard's new energy testing business isn't just "selling equipment" — every testing system is an entry point that continuously generates real physical data, providing engineering services while accumulating core Physical AI data assets.

为什么选择新能源作为 Physical AI 应用场景Why new energy as a Physical AI application scenario

新能源系统具备高复杂度、高安全要求和强数据闭环特征。电池、电驱、电控、整车通信、充放电、热管理和售后诊断，都是复杂物理系统——涉及电压、电流、温度、SOC、SOH、通信状态、故障码、工况变化和检测结果的动态交互。 New energy systems feature high complexity, high safety requirements and strong data loop characteristics. Battery, powertrain, control, communication, charging, thermal management and diagnostics are complex physical systems — involving dynamic interactions of voltage, current, temperature, SOC, SOH, communication status, fault codes, condition changes and test results.

从新能源汽车全生命周期，构建 Physical AI 场景矩阵Building Physical AI scenario matrix from new energy vehicle lifecycle

SCENARIO 01

电池与储能物理智能Battery & Energy Storage

从电芯到 PACK，从充放电到热管理，构建电池安全与寿命数据闭环。电压、电流、温度、SOC/SOH 轨迹是世界模型的核心训练数据。From cells to packs, from charging to thermal management, building battery safety and lifecycle data loops. Voltage, current, temperature, SOC/SOH trajectories are core training data for the world model.

SCENARIO 02

三电系统测试与仿真Powertrain Testing & Simulation

BMS、VCU、MCU 及三电联调，采集不同工况下的状态—动作—结果轨迹。HIL 仿真可复现边界工况和异常样本，大幅降低长尾数据采集成本。BMS, VCU, MCU and powertrain integration, capturing state-action-result trajectories across conditions. HIL simulation reproduces edge conditions and anomaly samples, greatly reducing long-tail data collection costs.

SCENARIO 03

整车下线与零部件检测EOL & Component Testing

EOL、IQC、零部件测试，将产线质量验证转化为质量判定数据。每辆车的下线检测数据都是异常识别模型的训练样本。EOL, IQC and component testing, transforming production quality verification into quality judgment data. Every vehicle's end-of-line data is a training sample for anomaly detection models.

SCENARIO 04

车载通信与 OTA 验证Vehicle Communication & OTA

CAN/LIN/以太网通信状态感知，捕捉车云与车内通信链路数据。通信异常样本是故障预测模型的关键训练数据。CAN/LIN/Ethernet communication state awareness, capturing vehicle-cloud and in-vehicle communication data. Communication anomaly samples are key training data for fault prediction models.

SCENARIO 05

后市场智能诊断Aftermarket Diagnostics

售后故障、诊断路径、维修结果和异常样本的真实数据入口。真实故障样本是最难采集、最有价值的 Physical AI 训练数据。Real-world data entry for after-sales faults, diagnostic paths, repair results and anomaly samples. Real fault samples are the hardest to collect and most valuable Physical AI training data.

SCENARIO 06

新能源年检与终端网络Inspection & Terminal Network

规模化终端检测网络，获取大规模车辆健康状态与合规检测数据。年检数据覆盖不同品牌、不同年限、不同工况的真实车辆状态分布。Scaled terminal inspection network, acquiring large-scale vehicle health and compliance data. Inspection data covers real vehicle state distributions across different brands, ages and conditions.

从测试验证能力，到新能源 Physical AI 数据资产From testing capabilities to new energy Physical AI data assets

清研精准不是简单地"卖测试设备"，而是将每一套测试验证系统转化为持续产生数据资产的入口。 Tsing Standard doesn't simply "sell testing equipment" — every testing system is transformed into an entry point that continuously generates data assets.

一套从真实设备到世界模型的新能源数据闭环A complete new energy data loop from real devices to world models

从测试验证系统到Physical AI 数据基础设施的三步升级Three-step upgrade from testing systems to Physical AI data infrastructure

无论你现在处于哪个阶段，清研精准都有对应的升级路径，帮助你在不改变现有业务的前提下，逐步构建 Physical AI 数据基础设施。 Regardless of your current stage, Tsing Standard has a corresponding upgrade path to help you gradually build Physical AI data infrastructure without changing existing business.

代表产品与测试验证平台Representative products and testing platforms

基于清研精准在新能源测试验证领域的工程积累，以下产品与平台已在多家头部车企、Tier1 和检测机构中部署应用，每一套系统都是持续产生数据资产的入口。 Based on Tsing Standard's engineering expertise, these products and platforms have been deployed across leading OEMs, Tier1s and testing institutions — every system is an entry point that continuously generates data assets.

PRODUCT 01

三电综合仿真测试解决方案Powertrain Simulation Testing

实现整车模型的实时运行，模拟三电系统各被测控制器的输入信号，实现各控制器对实时模型的闭环控制。Real-time vehicle model operation, simulating input signals for powertrain controllers for closed-loop control.

• 支持 BMS/VCU/MCU 独立或三电联调Supports BMS/VCU/MCU independent or integrated
• 单体电压建立 < 1ms，电机仿真步长 ≤ 1μsCell voltage setup < 1ms, motor step ≤ 1μs
• 同步上电延迟 ≤ 100μsSynchronous power-on delay ≤ 100μs

PRODUCT 02

BMS HIL 测试系统BMS HIL Testing System

采用实时运行整车模型，通过接口板卡连接 BMS 控制器，实现 BMS 控制算法验证和故障诊断测试。Real-time vehicle model with interface cards connecting BMS controllers for algorithm verification and fault diagnosis.

• SOC 估算、电池老化、热管理验证SOC estimation, aging, thermal management
• 充放电策略与均衡控制测试Charging strategy & balancing control testing
• 故障注入与安全保护验证Fault injection & safety protection validation

PRODUCT 03

VCU HIL 测试系统VCU HIL Testing System

通过模拟车辆被控对象，验证被测 VCU 的一系列功能，实现整车测试。Simulating vehicle controlled objects to verify VCU functions for complete vehicle testing.

• VCU CAN 通讯及整车网络仿真VCU CAN communication & vehicle network simulation
• 极限工况及典型工况功能验证Extreme & typical condition verification
• 能量管理与扭矩分配功能测试Energy management & torque distribution testing

PRODUCT 04

电池包在环测试系统Battery Pack-in-Loop System

结合电池与 HIL 技术，将电池与 BMS、控制系统、充放电设备、温箱设备实时集成。Combining battery with HIL technology, integrating battery with BMS, control systems and charging equipment in real-time.

• 支持 NEDC、WLTP 等标准工况Supports NEDC, WLTP standard conditions
• 内置故障注入单元Built-in fault injection unit
• 实时监测电压、电流、SOC 参数Real-time monitoring of voltage, current, SOC

PRODUCT 05

整车 EOL 测试系统Vehicle EOL Testing System

用于整车生产下线阶段的高压安全、车辆故障与通用功能测试，保障整车交付质量。Vehicle production end-of-line testing for high-voltage safety, vehicle faults and general functions.

• 覆盖高压安全与绝缘检测High-voltage safety & insulation detection
• 匹配产线节拍与自动化需求Matches production line rhythm & automation
• 支持多接口通信与高速 I/O 扩展Multi-interface communication & high-speed I/O

PRODUCT 06

三电 EOL 测试系统Powertrain EOL Testing

适用于 VCU/MCU/BMS 下线测试与来料入库测试，覆盖功能、性能与通信接口验证。VCU/MCU/BMS end-of-line and incoming material testing covering function, performance and communication.

• 自动化测试流程与报告生成Automated test procedures & report generation
• 支持 CAN/CANFD 等通信测试Supports CAN/CANFD communication testing
• 覆盖核心控制器功能与安全诊断Core controller function & safety diagnostics

PRODUCT 07

新能源汽车年检产品New Energy Inspection Equipment

针对新能源汽车动力蓄电池、驱动电机、电控系统及电气安全等部件开展检测。Inspection equipment for power batteries, drive motors, electrical control systems and electrical safety.

• 动力蓄电池安全性检测Power battery safety inspection
• 符合国家年检标准与规范Complies with national inspection standards
• 规模化终端网络数据入口Scaled terminal network data entry

PRODUCT 08

售后诊断与维护工具Aftermarket Diagnostic Tools

面向动力电池售后检测与维护场景，涵盖电池包综合测试、充放电测试、密封性检测等。Aftermarket battery testing and maintenance tools covering comprehensive battery pack testing, charging/discharging and sealing detection.

• 故障诊断与故障码读取Fault diagnosis & fault code reading
• 均衡维护与 SOH 评估Balancing maintenance & SOH assessment
• 真实故障样本数据入口Real fault sample data entry

已在头部车企与检测机构中验证部署Validated and deployed at leading OEMs and testing institutions

清研精准的新能源测试验证系统已在多家头部车企、Tier1 和检测机构中部署，积累了真实工业现场的数据采集与验证能力。 Tsing Standard's new energy testing systems have been deployed at leading OEMs, Tier1s and testing institutions, accumulating real industrial data collection and validation capabilities.

产业与科研资源背书Industry and research endorsement

8 年工程积累，从清华孵化到 Physical AI 底座8 years of engineering, from Tsinghua incubation to Physical AI foundation