Multi-objective control strategy of electro-mechanical transmission based on driving pattern division

Focusing on the propulsion requirements and power balance of heavy-duty vehicles used in construction, mining, emergency response, and off-road transport, this study defines distinct optimization objectives for Electro-Mechanical Transmission (EMT) systems under diverse driving patterns.These objectives are synthesized into a multi-criteria optimization framework using the Analytic Hierarchy Process (AHP), which dynamically determines weighting coefficients across diverse operating conditions. Based on Dynamic Programming (DP) theory, a multi-objective global control strategy is developed to optimize performance under complex driving cycles. The proposed strategy is evaluated through comprehensive simulations under measured representative driving cycles and is compared with the conventional rule-based strategy.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Published
2026-07-16
DOI
https://doi.org/10.1177/09544070261465777
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Multi-objective control strategy of electro-mechanical transmission based on driving pattern division

Ruimin Xu, Zongjue Liu, Li J, Yanbo Li
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Electric and Hybrid Vehicle Technologies
article

Multi-objective control strategy of electro-mechanical transmission based on driving pattern division

Ruimin Xu, Zongjue Liu, Li J, Yanbo Li
article en

Abstract

Focusing on the propulsion requirements and power balance of heavy-duty vehicles used in construction, mining, emergency response, and off-road transport, this study defines distinct optimization objectives for Electro-Mechanical Transmission (EMT) systems under diverse driving patterns.These objectives are synthesized into a multi-criteria optimization framework using the Analytic Hierarchy Process (AHP), which dynamically determines weighting coefficients across diverse operating conditions. Based on Dynamic Programming (DP) theory, a multi-objective global control strategy is developed to optimize performance under complex driving cycles. The proposed strategy is evaluated through comprehensive simulations under measured representative driving cycles and is compared with the conventional rule-based strategy.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Johns Hopkins University (US), Hainan University (CN), King Abdullah University of Science and Technology (SA)
Openalex Percentile: Top 14%
Electric and Hybrid Vehicle Technologies
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