Heavy truck oil-saving robot device and control method

Abstract

The invention provides a series-parallel heavy truck oil-saving robot system which mainly aims at highway trunk line logistics. Based on a vehicle-mounted three-dimensional electronic map, vehicle dynamic three-dimensional positioning data actually measured by the satellite navigator, parameters of all subsystems of the vehicle and the state of charge of a power battery pack, the relative speed, absolute distance and other data between the vehicle and the vehicle in front of the same lane which are actually measured by the forward-looking millimeter-wave radar, a cloud AI brain and a vehicle-mounted AI brain of the oil-saving robot dynamically cooperate with each other, the vehicle controller commands the vehicle-mounted electric power shunt, the response time is 10 milliseconds, the flowing direction and amplitude of hundred-kilowatt-level electric power are accurately and dynamically allocated among the internal combustion engine, the generator, the battery pack and the driving motor; the transient power balance of a vehicle kinetic equation is met in real time, and the beneficial effects of minimizing vehicle oil consumption and emission, reducing the long-distance driving laborintensity of a driver, improving the driving active safety of the vehicle and the like are achieved through a predictive self-adaptive cruise oil-saving control algorithm.

Description

technical field [0001] The invention relates to a heavy truck fuel-saving robot device and a control method. In particular, it relates to an intelligent network-connected electric (ACE) heavy truck based on a dual-motor single-clutch time-division series-parallel hybrid powertrain in the application scenario of trunk logistics. Big data, cloud computing, and artificial intelligence can realize functions such as stable operation of internal combustion engines at high-efficiency points, predictive adaptive cruise control, forward collision warning, lane departure warning, emergency braking assistance, and long-distance downhill slowing down. Emissions, improved vehicle active safety, driving convenience, and the 700,000-kilometer durability of the Real Driving Environment (RDE) emission system. Background technique [0002] Road logistics are vital to every major economy in the world. Trunk logistics (more than 500 kilometers per day on average; more than 90% of the mileage ...

AI Technical Summary

Problems solved by technology

[0016] The purpose of the present invention is to provide a novel and unique heavy-duty truck fuel-saving robot device and control method, aiming to solve the problem of slow improvement in fuel consumption of new heavy-duty trucks in trunk logistics in the prior art (annual average decline is less than 1.5%), and it is difficult to find a timely solution to meet the new European requirements. -7 Emission Standard 2025 carbon emission target (20% drop) and US Greenhouse Gas Emission Phase II (GHG-II) standard 2027 carbon emission target (24% drop) A cost-effective heavy truck power that can be mass-produced and commercialized The global problem of assembly technology route

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