基于微积分与多目标优化的电动汽车能耗预测及节能控制

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中图分类号：U469.72 文献标识码：A 文章编号：1003-8639（2026）01-0014-03

Energy Consumption Prediction and Energy-saving Control of Electric Vehicles Based on Calculus and Multi-objective Optimization

Ji Ting

(Shangqiu Institute of Technology, Shangqiu 476oOo, China)

【Abstract】 Calculus can precisely describe the continuous changes in vehicle energy consumption with operating conditions,and multi-objective optimization algorithmscan strike abalance among conflicting objectives,such as range and performance.This article focuses onthe energy consumption predictionand energy-saving controlof electric vehicles, elaborates on their core demands,and proposes technical paths from three aspects: dynamic prediction modeling,energysaving controlstrategies,and fullscenario implementation.Itpointsoutthat future energyconsumption management will evolve towards "predictive energy conservation" and "personalized optimization".

【Key words】 electric vehicle;energy consumption prediction；calculus modeling;multi-objective optimization; energy-saving control

0 引言

微积分作为描述动态系统变化规律的数学工具，为解析车辆能耗随工况的连续变化提供了精准语言；多目标优化算法（Multi-ObjectiveOptimizationAlgorithm，MOA）则能在续航、性能、电池寿命等冲突目标间找到最优平衡。（剩余5267字）