T/XJBX 0215-2026 Performance testing specifications for electromagnetic control valves used in automotive air suspension
T/XJBX 0215-2026 Performance testing specifications for electromagnetic control valves used in automotive air suspension
Basic Information
Scope
The automotive air suspension system adjusts the vehicle height, and controls the stiffness and damping through air springs, air storage and supply units, pipelines, and valve assemblies. It is a key technology path for improving the vehicle's smoothness, stability, and load adaptability. The electromagnetic control valve, as the core actuating element of the air suspension air circuit control, directly undertakes functions such as air charging and discharging, pressure maintenance, switching, and throttling. Its dynamic response, sealing performance, flow characteristics, power consumption and temperature rise, durability and reliability, as well as environmental adaptability, determine the control accuracy, failure rate, and user experience of the air suspension system. Especially under the trend of intelligent chassis and domain control integration, the electromagnetic valve is evolving from a "single on-off device" to a "high-frequency, precise, and diagnosable" actuating unit, which places higher demands on the standardization, comparability, and traceability of performance testing. However, there are still some prominent problems in the performance testing of electromagnetic control valves in the current industry: First, the test boundary conditions and working condition definitions are not unified. Differences in air supply pressure, back pressure, temperature, media cleanliness, pipeline volume, and throttling element configuration lead to incomparable results of the same product in different laboratories; Second, the coverage of test items is inconsistent. Some tests focus on static indicators while insufficient attention is paid to dynamic indicators, making it difficult to evaluate actual control performance; Third, the measurement chain and data processing standards are inconsistent. Differences in sensor accuracy levels, sampling frequencies, filtering, and judgment thresholds will significantly affect key indicators such as response time and flow curv