IFP Energies nouvelles holds a unique position in this field due to its advanced expertise in terms of engine control R&D and system modeling, coupled with the performance of its rapid prototyping tools and its numerous testing resources. This environment allows IFP Energies nouvelles to validate new control strategies, which could rapidly lead to industrial solutions.
IFP Energies nouvelles proposes innovative engine control solutions associated with the industrial objectives of reduced calibration efforts, reduced fuel consumption, reduced pollutant emissions, powertrain and after-treatment management, ageing of engine parts, safety, diagnostics, recovery braking, management of hybrid energy.
Conventional engine control, founded on open loop actions based on static maps and associated with monovariable regulators, is now unable to adequately meet the needs of new gasoline or diesel combustion modes.
IFP Energies nouvelles's engine control offer is based on multivariable control techniques and observers (estimated from non-measured variables), making it possible to correctly and specifically manage transitions, i.e. both sudden variations in torque demand, for example, and slow changes linked to ageing or fouling of actuators and catalysts. The observers developed at IFP Energies nouvelles are preferentially based on simplified knowledge models, known as 0D models, which have been reworked to become totally real-time.
Engine control constraints are increasingly numerous. In order to reduce pollutant emissions, use is made of:
But the combinations and compromises are multiple among these different types of “remedies” (combustion/energy sources/technologies, etc.), hence the need for control techniques for overall management of the complex system.
More specifically, new “clean combustion” processes pose genuine challenges in terms of engine control if they are to work, since the objective is to obtain stable torque production with low pollutant emissions at source, via control, despite significant constraints (poor mixture, low temperature, variable air/fuel ratio, etc.).
In addition to solutions to reduce pollutant emissions, innovation in terms of powertrains involves the increasing addition of inter-dependent subsystems, each responding to different dynamics. The choice of control strategy takes into account transient loads, which are deliberately “discrete”, actuators that need to be accurately piloted, an increasing number of measurements, etc., at the same time ensuring the best possible drivability.
To be able to propose innovative control laws, system simulation becomes a crucial element. First of all, in the very methodology of the design, devising and testing the control unit on simulators, but also in its formalization, increasingly using models representing the dynamics of the system to be piloted within control units.