Multi-objective control strategy of Electro-Mechanical Transmission Based on Driving Pattern Division

TL;DR

This paper proposes a multi-objective control strategy for Electro-Mechanical Transmission in heavy-duty vehicles, optimizing performance across driving patterns using a weighted approach and dynamic programming, leading to improved fuel economy.

Contribution

It introduces a novel multi-objective control method based on driving pattern division and dynamic programming, enhancing vehicle performance and fuel efficiency.

Findings

Significant performance improvement over rule-based strategies

Enhanced fuel economy in simulation tests

Effective adaptation to different driving patterns

Abstract

Based on the driving requirement and power balance of heavy-duty vehicle equipped with Electro-Mechanical Transmission (EMT), optimization goals under different driving patterns are put forward. The optimization objectives are changed into a comprehensive optimization target based on the method of weighting, which is calculated by using analytic hierarchy process (AHP) under different working conditions. According to theory of Dynamic Programming (DP), a multi-object control strategy of DP under different driving patterns is proposed. This strategy is verified by simulation and contrasted with rule strategy, the results show that comprehensive performance is significantly enhanced, and the fuel economy is highly improved especially.