Pattern Reco­gni­ti­on in Power­train Deve­lo­p­ment– Online Model­ling & Opti­miza­ti­on of ECU-Functions

Obser­va­ti­on based first prin­ci­ple model­ling have been a major system charac­te­riza­ti­on approach for the fore­seeable past. Pattern reco­gni­ti­on methods have been paving a new wave along with afore­said amidst avai­la­bi­li­ty of quali­ty data and the need for opti­miza­ti­on of complex engi­ne inter­ac­tions, espe­ci­al­ly with onset of elec­tri­fi­ca­ti­on. This artic­le outlines the deve­lo­p­ment of a metho­do­lo­gy at APL that can be used to opti­mi­ze elec­tro­nic control unit func­tions with the ensem­ble of decis­i­on trees.

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