论文信息 - Range Prediction Models for E-Vehicles in Urban Freight Logistics Based on Machine Learning

Range Prediction Models for E-Vehicles in Urban Freight Logistics Based on Machine Learning

In this paper, we want to present an ICT architecture with a range prediction component, which sets up on machine learning algorithms based on consumption data. By this, the range component and therefore ICT system adapts to new vehicles and environmental conditions on runtime and distinguishes itself by low customization and maintenance costs.

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