发明授权
US07758676B2 Adaptive learning method for clean particulate filter pressure drop
有权
清洁颗粒过滤器压降的自适应学习方法
- 专利标题： Adaptive learning method for clean particulate filter pressure drop
- 专利标题（中）： 清洁颗粒过滤器压降的自适应学习方法
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申请号： US11542688申请日： 2006-10-03
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公开(公告)号： US07758676B2公开(公告)日： 2010-07-20
- 发明人: Rahul Mital , Chad E. Marlett , James R Ireton, Jr. , Thomas E Wiseman
- 申请人： Rahul Mital , Chad E. Marlett , James R Ireton, Jr. , Thomas E Wiseman
- 专利权人： GM Global Technology Operations, Inc.
- 当前专利权人： GM Global Technology Operations, Inc.
- 主分类号： B01D59/26
- IPC分类号： B01D59/26
摘要：
A control system for particulate filters is provided. The control system for a particulate filter includes a clean filter estimating module that estimates a clean pressure based on a first pressure in the particulate filter within a predetermined period of a regeneration event. A soot prediction module estimates a level of soot in the particulate filter based on a comparison of the first pressure and a second pressure in the particulate filter received after the predetermined period.