Slope differences and crosswind are decisive parameters for the energy consumption of vehicles. For electric vehicles in particular, both pieces of information are crucial for a precise determination of the remaining battery capacity and range. The team of authors from university and vehicle engineering contribute to the careful use of energy in the mobility of the future. Today, applications such as openweathermap.org/api or weatherapi.com or open-meteo.com/ provide the wind data for selectable geopositions. The presentation shows the conversion effort required to use this data and how the data can then be integrated into simulations and comparative measurements. The angle of slope also influences the energy consumption of the vehicle. Altitude data from GPS sensors or digital maps are often inaccurate and must be numerically post-processed for an exact calculation of the angle of inclination. For the first time, wind and altitude data recorded online are then integrated into driving simulations and evaluated to produce energy requirement forecasts for a target route. Documented journeys with a test vehicle and a comparison with longitudinal dynamics simulations round off the article. Janpoom, K. et al: Investigating the influential factors in real-world energy consumption of battery electric vehicles. Applied Energy 9 (2023) Daberkow, A. et al: An Energy Efficiency Comparison of Electric Vehicles for Rural–Urban Logistics. Springer, Small Electric Vehicles (2021)
Session:
Poster
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