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Optimisation of driver and driving assistance systems of electric vehicles by a static vehicle mass estimation

机译：通过静态车辆质量估算优化电动汽车驾驶员和驾驶辅助系统

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Currently, the sales volume of electric vehicles is significant lower than the sales volume of conventional cars. The main reasons for this slow development are the high acquisition costs, the insufficient charging infrastructure, and the limited range of electric vehicles. The last-mentioned reason depends on many influence factors like the selected route, meteorological conditions, and the payload. The knowledge of the current payload is very important for the optimisation of the range prediction, the realisation of energy-efficient driving strategies or the improvement of driving assistance systems (e.g. anti-lock braking system, electronic stability control). Moreover, the option to use more energy-efficient driving strategies, which also includes the improvement of the recuperation, enables the reduction of the operating costs. Therefore, the paper shows a system proposal for the real-time payload detection of vehicles (in particular electric vehicles).
机译：当前，电动汽车的销量大大低于传统汽车的销量。这种缓慢发展的主要原因是购置成本高，充电基础设施不足以及电动汽车的范围有限。最后提到的原因取决于许多影响因素，如所选路线，气象条件和有效载荷。当前有效载荷的知识对于优化范围预测，实现节能驾驶策略或改进驾驶辅助系统（例如防抱死制动系统，电子稳定性控制）非常重要。此外，可以选择使用更节能的驾驶策略，其中还包括改善能量回收，从而降低运营成本。因此，本文显示了一种用于车辆（特别是电动车辆）实时有效载荷检测的系统方案。

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