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- Path: sparky!uunet!ulowell!news.bbn.com!usc!zaphod.mps.ohio-state.edu!rphroy!albert!rhaar
- From: rhaar@albert.cs.gmr.com (Bob Haar)
- Newsgroups: rec.autos.tech
- Subject: Re: BLOCK LEARN?
- Message-ID: <93306@rphroy.ph.gmr.com>
- Date: 13 Nov 92 17:23:42 GMT
- References: <1992Nov13.163704.19734@sequent.com>
- Sender: news@rphroy.ph.gmr.com
- Reply-To: rhaar@albert.cs.gmr.com
- Organization: G.M. Research and Environmental Staff
- Lines: 39
- Nntp-Posting-Host: albert.cs.gmr.com
-
- In article 19734@sequent.com, troy@sequent.com (Troy Wecker) writes:
- |>
- |>The 1991 Chevrolet Truck Emissions Manual (Helm) in the (Electronic
- |>Control Module System) refers to "block learn values". As far as I
- |>can guess this seems to be some data value(s) stored in the ECM. It
- |>can be viewed by a Scan Tool. Diagnostic charts give normal values to
- |>expect. It also appears to be lost when the vehicles battery is
- |>disconnected. This would lead me to believe it is somehow generated
- |>by the ECM and stored in there.
- |>
- |>How is the "block learn value" generated?
- |>How is it used by the ECM?
- |>
-
- Typical (at least GM) engine controllers use a collection
- of parameters called "calibration data" within the various
- control loops to modify how a more general algorithm works
- for a specific platform/engine/transmission/option_content
- package. These are usually stored in ROM or PROM, and are the
- same for all similar cars.
-
- The "Block Learn Values" are a set of fine-tuning parameters
- that are adjusted by adaptive control algortihms in the ECM
- to better match the specifics of your particular vehicle. This
- is done to compensate for variations in individual components and
- for cahnges in the components over time. If these parameters
- are stored in battery-backed RAM, there values are lost when
- you disconnect power from the battery (or replace the ECM).
- In that evenet, the ECM just goes back to the default values
- are starts learning a new fine-tuning calibration from scratch.
-
-
- ---
- Robert Haar InterNet : rhaar@gmr.com
- Computer Science Dept., G.M. Research and Environmental Staff
- DISCLAIMER: Unless indicated otherwise, everything in this note is
- personal opinion, not an official statement of General Motors Corp.
-
-
-