APU control path determination method and device, electronic equipment, storage medium and vehicle
CN121608756APending Publication Date: 2026-03-06FAW JIEFANG AUTOMOTIVE CO
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Patent Information
- Application Number
- CN202511882585.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-15
- Publication Date
- 2026-03-06
AI Technical Summary
Technical Problem
Existing APU control methods cannot dynamically respond to terrain changes, resulting in large pressure fluctuations in the gas storage tank, increased energy consumption, delayed control response, low efficiency of the air system, and potential safety hazards.
Method used
By fusing high-precision map information with real-time vehicle status, air consumption is predicted, the minimum energy consumption APU control path is calculated, the APU start-stop strategy and operating power are optimized, and global energy management is achieved.
Benefits of technology
It reduces the APU start-stop frequency, reduces energy consumption by more than 20%, reduces gas tank pressure fluctuations, and improves driving safety and APU lifespan.
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Smart Images
Figure CN121608756A_ABST
Abstract
The invention discloses an APU control path determination method and device, electronic equipment, a storage medium and a vehicle, and relates to the technical field of vehicle electronic control air treatment.The APU control path determination method comprises the steps that according to the current vehicle running state and map road spectrum data, the air consumption of the vehicle in a preset time domain is predicted; according to the air consumption amount, the corresponding air cylinder pressure is determined; and calculating energy consumption of each APU control path according to the pressure of the air reservoir, and determining the APU control path corresponding to the minimum energy consumption as a predictive control state path for controlling the vehicle APU state. Future path information provided by a high-precision map is deeply fused with real-time vehicle state data, and a data basis is provided for realizing prospective control of an APU state, so that an APU control state path which is most fuel-saving and lowest in energy consumption is found for a whole vehicle.
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