Given the unstable oil-supply and more stringent emission legislations,hybrid electric propulsion system (HEPS), a fuel-saving andgreenhouse gas (GHG) emission reduction technology, is gaininguniversal attention. In the case of plug-in HEPS, shore power has beenused to charge the battery and power the system as an alternate ofdiesel fuel. However, the use of shore power may deteriorate the GHGemission performance of the system in the countries where electricityhas high GHG intensity. To mitigate such drawback and achieve abalance between the consumption of diesel fuel and shore power, thispaper proposes a multi-objective optimization design method of plug-inHEPS targeted at minimizing fuel consumption and GHG emission. Aninverse simulation model of the proposed plug-in HEPS with scalablemain components (i.e., diesel engines, motors and ESS) is established.The diesel engines and motors are modeled based on Willans linemethod to avoid the dependence on the availability of specificefficiency map. A thermostat control strategy is proposed to determinethe power flow distribution. Sizing variables and control variables areoptimized simultaneously using NSGA-Ⅱ algorithm. The case studyinvestigated here is the electrification of a catamaran with aconventional propulsion system. The results demonstrate that theoptimal solution achieves more than 10% reduction in fuelconsumption and GHG emission compared with the conventionalpropulsion system.
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