Modeling of New Energy Vehicles’ Impact on Urban Ecology Focusing on Behavior

分类： 统计学 >> 应用统计数学 分类： 计算机科学 >> 计算机应用技术 分类： 数学 >> 建模与仿真 分类： 能源科学 >> 能源（综合） 提交时间： 2024-01-01

Runxuan Tang

摘要： The surging demand for new energy vehicles is propelled by the call to conserve energy, curtail emissions, and enhance the ecological ambience. By conducting behavioral analysis and mining, particular usage patterns of new en#2;ergy vehicles are pinpointed. Regrettably, these models decrease their environ#2;mental shielding efficiency. For instance, overloading the battery, operating with low battery power, and driving at excessive speeds can all detrimentally affect the battery's performance. To assess the impact of such driving behavior on the urban ecology, an environmental computational modeling method has been pro#2;posed to simulate the interaction between new energy vehicles and the environ#2;ment. To extend the time series data of the vehicle's entire life cycle and the eco#2;logical environment within the model sequence data, I utilized the LSTM deep learning method with Bayesian optimizer optimization parameters for longer simulation. The analysis revealed the detrimental effects of poor driving behavior on the environment

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