一种车用柴油机氨逃逸在线检测方法及系统

By combining exhaust conditions and engine data, and utilizing SCR catalyst temperature changes and urea injection data, parameters for ammonia storage and nitrogen oxide conversion are constructed, solving the inaccuracy problem of ammonia slip detection in existing technologies and achieving high reliability and adaptability of online detection.

CN121676122BActive Publication Date: 2026-07-17BENGBU COLLEGE
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BENGBU COLLEGE
Filing Date
2026-01-19
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies cannot fully reflect changes in ammonia storage and nitrogen oxide conversion processes inside the SCR catalyst in online ammonia slip detection, resulting in judgment results being greatly affected by fluctuations in operating conditions, and failing to fully utilize the characteristics of different operating states of the SCR catalyst.

Method used

By acquiring exhaust status data and engine operation data, combined with SCR catalyst temperature changes and urea injection data, ammonia storage change parameters and nitrogen oxide conversion change parameters are constructed. Using the state switching time and effective time range, ammonia escape judgment characteristic parameters are generated to achieve online detection.

Benefits of technology

It improves the pertinence and reliability of ammonia slip detection, reduces the risk of misjudgment, and can make accurate judgments during periods of high ammonia release risk. It adapts to complex operating conditions and meets the needs of online monitoring and emission control for vehicle diesel engines.

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Abstract

本发明属于氨逃逸检测技术领域,具体涉及一种车用柴油机氨逃逸在线检测方法及系统。该发明,基于SCR催化器前后排气温度变化确定催化器运行状态,并在运行状态切换至氨解吸主导状态时触发氨逃逸检测过程,避免在氨吸附或反应平衡阶段进行无效判定,提高了氨逃逸检测的针对性和可靠性,通过引入状态切换时刻并据此确定有效时间范围,使氨逃逸判定仅发生在氨释放风险较高的时间段内,有效降低了由于瞬态工况波动或噪声干扰引起的误判问题,通过累计理论氨供给量与氨存储变化参数的对比,构建氨存储变化偏离参数,能够反映氨供给行为与SCR内部氨存储变化之间的偏离情况,从而更准确地识别潜在的氨异常释放趋势。
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Citation Information

Patent Citations

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