Super-high speed AMT shifting strategy and energy consumption optimization for electric vehicle

Yongming He, Shengchun Sui, Quan Wang, Yufeng Jin, Longlong Zhang and Jinyang Wang

Energy, 2025, vol. 322, issue C

Abstract: Efficient transmission system design of Electric Vehicles (EVs) is essential for boosting their endurance capability at super-high speeds. This paper proposes an optimized two-gear Automated Manual Transmission (AMT) strategy of EVs to minimize energy consumption on superhighways. When the driving speed of an EV increases from 100 km/h to 180 km/h, there is a 1.3% drop in motor efficiency and a 2.8-fold increase in energy loss. The full-vehicle model is built by the AVL-Cruise platform to examine the energy consumption characteristics of EVs under various driving scenarios. The Particle Swarm Optimization (PSO) and Sequential Quadratic Programming (SQP) algorithms are used to optimize the transmission system, which can improve the utilization rate of the motor’s efficient working range. Experimental results demonstrate that the proposed shifting strategy improves motor efficiency and reduces energy consumption on superhighways by 0.87% to 3.64%. The comparative analysis of the dynamic performance between single-gear and two-gear AMT EVs substantiates the efficacy of our proposed strategy in enhancing both acceleration and hill-climbing capabilities.

Keywords: Electric vehicle; Superhighway; Energy consumption forecasting; AMT shifting strategy; Energy optimization (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:322:y:2025:i:c:s0360544225011314

DOI: 10.1016/j.energy.2025.135489

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