Commercial vehicle electric drive axle hybrid power intelligent control method and system

CN122232612APending Publication Date: 2026-06-19HANGZHOU CONTEMPORARY E-DRIVE TECH CO LTD

Patent Information

Authority / Receiving Office: CN · China
Patent Type: Applications(China)
Current Assignee / Owner: HANGZHOU CONTEMPORARY E-DRIVE TECH CO LTD
Filing Date: 2026-05-25
Publication Date: 2026-06-19

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately capture and respond to dynamic characteristics under the complex and ever-changing operating conditions of commercial vehicles, resulting in abrupt switching of the power system when operating conditions change abruptly, affecting driving smoothness and ride comfort. Furthermore, they cannot effectively coordinate the distribution of energy flow between the engine and the electric drive axle, leading to mechanical wear and energy efficiency loss.

Method used

The state characteristics of the electric drive bridge and engine are obtained by multi-scale time-frequency decomposition, and the operating condition feature vector is constructed. Variational coding and reparameterized sampling are performed to identify the power switching node and extend the time window. Combined with phase space reconstruction and Lyapunov exponent, the chaotic interval of energy flow is identified. Multi-objective optimization is performed to solve the torque distribution coefficient and power compensation amount, and control commands are generated.

Benefits of technology

It improves power smoothness and overall vehicle economy under complex operating conditions of commercial vehicles, avoids shocks caused by sudden changes in commands, optimizes energy flow distribution, and improves system stability and energy efficiency.

✦ Generated by Eureka AI based on patent content.

Smart Images

Figure CN122232612A_ABST

Patent Text Reader

Abstract

This invention provides a method and system for intelligent control of hybrid power systems using an electric drive axle in commercial vehicles. Relating to the field of hybrid power control technology, the method includes: acquiring the states of the electric drive axle and engine, performing multi-scale time-frequency decomposition to construct a feature vector of operating conditions, predicting power demand and identifying switching transition intervals through variational coding and reparameterized sampling; identifying chaotic energy flow intervals and determining conflict intervals through phase space reconstruction and Lyapunov exponents; and performing multi-objective optimization with torque and power states as constraints to solve for torque and power distribution coefficients and generate control commands. This invention achieves smooth transition during power switching and coordinated optimization of energy flow, improving system efficiency and driving smoothness.

Need to check novelty before this filing date? Find Prior Art