Periodic Reporting for period 3 - DOMUS (Design OptiMisation for efficient electric vehicles based on a USer-centric approach)
Berichtszeitraum: 2020-05-01 bis 2021-10-31
Starting with activities to gain a better understanding of comfort, combined with the development of numerical models which represent both the thermal and acoustic characteristics of the passenger compartment, DOMUS aims to create a validated framework for virtual assessment and optimization of the energy used. In parallel, innovative solutions for glazing, seats, insulation and radiant panels, will be developed along with controllers to optimize their performance individually and when operating in combination, the optimal configuration of which will be derived through numerical simulation.
The aim is that the combined approach of innovating at a component level together with optimising the overall configuration will deliver at least the targeted 25% improvement in EV range without compromising passenger comfort and safety. Furthermore, the project will demonstrate the key elements of the new approach in a real prototype vehicle. As such DOMUS aims to create a revolutionary approach to the design of vehicles from a user-centric perspective for optimal efficiency, the application of which will be key to increasing range and hence customer acceptance and market penetration of EVs in Europe and around the world in the coming years.
WP 1: Assessment framework equation, Completion of Holistic Comfort Model (HCM), 3D thermal model, 3D Acoustic model, 1D of the HVAC and the thermal cabin, Machine Learning (ML) of the cabin, DPIV baseline and demo tests and correlations with the model
WP 2: Completion of four design cabins, construction of an integrated simulator with an optimized controller in order to perform assessment of energy efficiency of the different design cabins and cabin configuration optimization
WP 3: Super insulation panels with VIP and PCM; Active glazing with heating function and higher thermal insulation for the WindsScreeen, FrontDoor & BackLites glasses; Permanent antifog coating.
WP 4: Completion of the design and construction phase of front and rear active seats with an overall weight reduction of ∑ 3.796 g; final selection of the technologies to be applied in the dashboard as well as an estimation of their weight-saving potential; building 3D printing parts for the Cross Car Cabin (CCB) and top cover of the dashboard to be integrated in the demo
WP 5: Definition of pre-condition strategies; completion of prototyping and delivery of all radiant panels; design, prototyping, and testing of the Thermal Energy Storage (TES); completion of HVAC design prototyping and testing; definition of the electric architecture for the Active Comfort System; Completion of Human Machine Interface (HMI) and automatic and manual control logic.
WP 6: Packaging studies, noise intrusion tests, crash simulations of the CCB and Active seats for safety, completion of Climatic Wind Tunnel (CWT) tests of the demo car, subjective tests and defogging/defrosting testing on the active glazing integrated in the demo.
-A framework for energy and comfort assessment of a combined car cabin and climate control system
-A holistic comfort model considering all comfort factors and creation of a 3D virtual model of the cabin to be used for optimization
-A virtual design and assessment methodology for process optimization taking into account human characteristics in terms of comfort, energy and safety.
-New insulation solutions and materials for cabin components such as glazing pigments to improve IR reflection, high thermal insulating coatings or insulating organic aerogel technology with very low thermal conductivity
-New solutions and materials for reducing weight and thermal inertia for cabin components. Such as dashboard panels with NFPP, air ducts made by extrusion blow-moulding of propylene, Cross Car beam and Active seats
-HVAC user-oriented (rather than cabin) to efficiently enhance comfort perception by means of self-adjusting airflow patterns guided ruled by real-time measuring of user conditions, machine learning HVAC regulation and advanced HMI applications
derived from the understanding of mental models
-An unified control unit for integrated comfort systems with automatic regulation of the whole comfort system
-New preconditioning strategies including new energy storage systems based on PCM
Thanks to these innovations DOMUS increased the electric drive range of EVs compared to their 2016 reference models across a wide extent of ambient conditions. This will contribute to a wider adoption of EVs by the general public and accelerated transition towards the production of low and zero emission vehicles, in particular, battery EV and (plug in) hybrid EVs.