Intelligent navigation and energy management integrated control system and method for electric ship in inland river

By constructing a three-layer closed-loop control system for inland waterway electric vessels, integrating multi-source information to calculate real-time water speed, high-precision navigation and energy management coordinated control is achieved, solving the problems of low control accuracy and high energy consumption in complex environments, and extending battery life.

CN121822762APending Publication Date: 2026-04-10SANDIANSHUI NEW ENERGY TECH (ANHUI) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-10
Publication Date
2026-04-10

AI Technical Summary

Technical Problem

Existing inland waterway electric vessel control systems suffer from problems such as perception lag, inaccurate models, and system fragmentation in complex navigation environments, resulting in low control accuracy, high energy consumption, and reduced battery life.

Method used

A three-layer closed-loop control system of perception, decision-making and execution is constructed. Multi-source information is integrated to calculate the real-time water velocity. Through navigation resistance prediction and water flow compensation, forward-looking and coordinated control of intelligent navigation and energy management is achieved.

Benefits of technology

It significantly improves the control accuracy, energy efficiency and economy of ship navigation under complex hydrological conditions, enhances braking safety, and extends the life of power batteries.

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Abstract

The invention discloses an inland river electric ship intelligent navigation and energy management integrated control system and method. The system comprises a perception and communication layer, a central decision and calculation layer and an execution and energy layer. The sensing layer obtains multi-source information, including surrounding ship AIS, ship positioning and ground speed, external real-time water flow, ship lock scheduling, channel static geography and actually measured water flow information. The central decision-making layer comprises a data fusion and water flow compensation module which aligns information and solves the real-time water speed through vector fusion; the sailing resistance prediction module is used for predicting future resistance based on the water speed and the geometric information of the navigation channel; and the energy management predictive control module is used for generating an optimal power distribution instruction through rolling optimization based on the water speed and the predictive resistance. The execution layer comprises a composite power supply and an electric propulsion system and is used for executing instructions. Integrated control is achieved through AIS enhanced sensing and water flow compensation, and the accuracy, safety and economical efficiency of ship control are improved.
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