Energy management is a crucial for the Electric Vehicles to increase their range. One of the main challenges of the facing energy management is the passengers’ consumption of thermal comfort of the in different weather conditions, including extreme temperatures cold or extreme hot; where the battery capacity is reduced, and the comfort requirements are more becomes extremely demanding. This paper will summarize the recent achievements made in this field, using as results from the OPTEMUS* project. It tackles this bottleneck by leveraging optimal energy consumption and energy harvesting. We will focus on the virtual prototyping methodology, where we develop a fully detailed virtual cabin for the EV’s for A segment electric vehicle (Fiat 500e). This 3D model consists of the 3D detailed models of the Cabin, the Smart Seat, the Human models for thermal comfort assessment, with specific thermal comfort index, and the HVAC simplified models. It interacts with the full vehicle in a holistic vehicle-occupant-centred approach. Finally, new methods for design space exploration based on the Parametric Reduced Model Order enabling real time response of complex interactions interconnected requirements such as comfort, safety, driving range in a wide range of weather conditions.
Ms. Anne Chambard, ESI Group, FRANCE Dr. Fouad El Khadi, ESI Group, FRANCE
Hybrid Twin for Electric Vehicle Cabin
F2020-ADM-105 • Paper + Video • FISITA World Congress 2021 • ADM - Advanced Vehicle Driveline and Energy Management
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