A load-gradient coupling range-extended electric vehicle truck adaptive energy management method and system

By adopting an adaptive energy management method that couples load and slope, combined with low-latency operating condition perception and dual closed-loop optimization, the problem of energy distribution mismatch in range-extended electric logistics vehicles under complex operating conditions is solved, thereby improving fuel economy, power battery life, adaptability, and stability.

CN122443408APending Publication Date: 2026-07-24无锡先进内燃动力技术创新中心
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
无锡先进内燃动力技术创新中心
Filing Date
2026-06-04
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing energy management solutions for range-extended electric logistics vehicles lack dual coupling considerations for load and gradient, resulting in mismatched energy distribution under complex working conditions, increased vehicle fuel consumption, drastic fluctuations in the state of charge (SOC) of the power battery, and a lack of real-time response capability, making it difficult to meet the actual needs of heavy-duty logistics vehicles.

Method used

By constructing an adaptive energy management method that couples load and slope, combined with low-latency operating condition perception, and adopting a two-dimensional classification of load level and slope type, a MIL model is built for offline optimization. Through iterative optimization and online correction using a genetic algorithm, dynamic SOC threshold adjustment and vehicle power distribution are achieved, thus constructing an offline-online dual closed-loop optimization architecture.

Benefits of technology

It improves the overall vehicle fuel economy, reduces power battery SOC fluctuations, extends battery life, enhances driving smoothness and energy management accuracy under complex operating conditions, and is compatible with existing heavy-duty logistics vehicle platforms without requiring additional hardware.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to a load-slope coupling range-extended electric logistics vehicle self-adaptive energy management method and system. The application comprises the following steps: acquiring real-time load information and road slope information of a range-extended electric logistics vehicle; determining a load-slope coupling working condition; adaptively correcting a set basic SOC threshold according to the load-slope coupling working condition to obtain a corrected SOC upper limit and a corrected SOC lower limit, and simultaneously calling an offline pre-calibrated offline calibration equivalent factor corresponding to the load-slope coupling; online correcting the offline calibration equivalent factor to obtain a corrected equivalent factor; determining a power system working mode according to a current power battery SOC value, the corrected SOC upper limit and the corrected SOC lower limit; and performing vehicle power distribution according to the power system working mode and the corrected equivalent factor. The application can realize optimal energy distribution of the vehicle under different loads, slopes and running conditions.
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