GWM - GREAT WALL MOTOR HOVER/HAVAL H6 2.0L 16V TURBO 155kW/208HP MG1US008

ECU BOSCH MG1US008 · 211 CV (155 kW) · 2000 cc · Benzina sovralimentato

ECU DatabaseGWM - GREAT WALL MOTOR › GWM - GREAT WALL MOTOR HOVER/HAVAL H6 2.0L 16V TURBO 155kW/208HP MG1US008

Find the firmware identifiers (hardware, software and update numbers), available tuning options and how to get the original or remapped file.

✓ Tuning via file (flash) 1 firmware versions

Vehicle data

BrandGWM - GREAT WALL MOTOR
ModelHOVER/HAVAL H6
Engine2.0L 16V TURBO 155kW/208HP MG1US008
Stock power211 CV / 155 kW
Displacement2000 cc
FuelBenzina sovralimentato
Vehicle typeAuto

ECU

ManufacturerBOSCH
ModelMG1US008
Memory / EPROMMicro Infineon TRICORE categoria AURIX. Il micro ha una DFLASH da 384Kbyte

Available tuning operations / options:

  • Base timing
  • Knock correction advance max
  • Desired engine load calculation
  • Lambda correction
  • Lambda Correction 2
  • Compression ratio for turbocharger protection
  • Compression ratio limiting for compressor depending on IAT sensor
  • Exhaust gas temperature
  • Exhaust gas temperature 2
  • Factor to correct fuel delivery system
  • Factor for reducing maximum filling
  • Advance limiter for component protection 1
  • Lambda enrichment for components protection
  • Lambda correction for exhaust manifold temperature
  • Lambda driver wish
  • Knock detection factor
  • Throttle air mass flow calculation
  • Manifold absolute pressure time delay
  • Characteristic manifold absolute pressure time constant of the LRS
  • Max torque profile
  • Max torque profile (overboost active)
  • Optimal engine moment
  • Power limit torque table
  • Driver torque request
  • Torque limiter for selected gear
  • Throttle angle management
  • Turbocharger volumetric efficiency

Firmware identifiers (1)

Hardware No.Software No. (chip)VersionUpdate softwareECU
F01R0AD5BA 1.94.010ZJ8607A501 BOSCH MG1US008

ECU notes

This Setting File can be used for serial system NewGenius. To work on this ECU you can use NewTrasdata