Towards Self-Learning Energy Management for Optimal PHEV Operation Around Zero Emission Zones

Self-learning energy management is a promising concept, which optimizes real-world system performance by automated, on-line adaptation of control settings. In this work, the potential of self-learning capabilities related to optimization is studied for energy management in Plug-in Hybrid Electric Vehicles (PHEV). These vehicles are of great...

Entwicklung eines verteilten Antriebsstrangs für Trucks mit elektrifizierten Anhängern

Im Forschungsprojekt Aeroflex, an dem unter anderem MAN beteiligt ist, wurde eine modell basierte Testmethodik für die Steuerung eines verteilten Antriebsstrangs in einem Lang-Lkw entwickelt. Die Antriebssteuerung des Trucks wurde so angepasst, dass die zusätzlichen elektrischen Antriebseinheiten beispielsweise zur Rekuperation von Bremsenergie...

Experimental Validation of a Virtual Engine-Out NOx Sensor for Diesel Emission Control

Motivated by automotive emission legislations, a Virtual NOx sensor is developed. This virtual sensor consists of a realtime, phenomenological model that computes engine-out NOx by using the measured in-cylinder pressure signal from a single cylinder as its main input. The implementation is made on a Field Programmable Gate Array–Central...

Validation of control-oriented heavy duty diesel engine models for non-standard ambient conditions

Complying to both the increasingly stringent pollutant emissions as well as (future) GHG emission legislation - with increased focus on in-use real-world emissions - puts a great challenge to the engine/aftertreatment control development process. Control system complexity, calibration and validation effort has increased dramatically over the...

Towards Ultra-Low NOx Emissions within GHG Phase 2 Constraints: Main Challenges and Technology Directions

Development and Application of a Virtual NOx Sensor for Robust Heavy Duty Diesel Engine Emission Control

To meet future emission targets, it becomes increasingly important to optimize the synergy between engine and aftertreatment system. By using an integrated control approach minimal fluid (fuel and DEF) consumption is targeted within the constraints of emission legislation during real-world operation. In such concept, the on-line availability of...

Robust, Cost-Optimal and Compliant Engine and Aftertreatment Operation using Air-path Control and Tailpipe Emission Feedback

Heavy-duty diesel engines are used in a wide range of applications. For varying operating environments, the engine and aftertreatment system must comply with the real-world emission legislation limits. Simultaneously, minimal fuel consumption and good drivability are crucial for economic competitiveness and usability. Meeting these requirements...

Robust Emission Management Strategy to Meet Real-World Emission Requirements for HD Diesel Engines

Heavy-duty diesel engines are used in different application areas, like long-haul, city distribution, dump truck and building and construction industry. For these wide variety of areas, the engine performance needs to comply with the real-world legislation limits and should simultaneously have a low fuel consumption and good drivability. Meeting...

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