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This method reduces energy consumption in electric vehicles, demonstrating a 12.74% improvement in path planning efficiency.
The rapid advancement of electric vehicles (EVs) is hindered by their limited driving range. Intelligent path planning can significantly improve energy efficiency and extend driving range. This paper proposes a novel three‐dimensional multi‐objective path planning method considering the characteristics of the electric drive system (EDS‐3DM). First, vehicle dynamics and energy consumption estimation models are developed based on the efficiency analysis of the EDS. Next, a comprehensive path evaluation model is designed using both Euclidean distance and energy consumption. B‐spline curves are then applied to smooth the final paths. Experimental results on three different maps demonstrate the effectiveness of EDS‐3DM, achieving an average energy consumption reduction of 12.74%.To address the path planning challenge in intelligent EVs, this paper proposes a novel three‐dimensional multi‐objective path planning method that considers the characteristics of the EDS‐3DM.The path planning results on three maps demonstrate the effectiveness of the EDS‐3DM and its ability to achieve an average energy consumption optimization of 12.74%.
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Shen et al. (2025) studied this question.
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