Parameterization of Physics-based Ageing Models of a 21700 Lithium-ion Cell
conference paper
This paper introduces an advanced digital twin (DT) framework for electric truck, which consists of a universal multi-layer DT architecture and multi-disciplinary AVL software suites. The proposed DT framework can realize all functionalities conducted within key spaces in a generic DT concept: physical space, communication channel for data fusion, and digital twin space. A workflow and a management platform are introduced to generate, operate, calibrate, and run DTs. Furthermore, a pre-DT model of energy consumption estimation is developed based on a longitudinal model, to evaluate the conceptual designs during early design stage. The holistic digital twin framework enables support at the industrial level of new fully integrated architectures and designs for electric truck applications in a European project named NextETRUCK. Original equipment manufacturers (OEMs) and tier-one suppliers will be able to push beyond the investigation of another generation of efficient and affordable electric trucks.
Topics
TNO Identifier
1000214
Source title
Oxford Battery Modelling Conference
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