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...

Heavy duty test cycles and in-use compliance testing

Measurement procedures for the legal limitation of emissions from heavy duty engines should adequately reflect the actual use of such engines in practice. Equally important is the possibility to monitor the emission performance of certified engines on the market. This paper gives a short overview of the experiences with the Dutch in-use...