An energy management method for adaptive cruise control of electric vehicles

Abstract

An energy management method for adaptive cruising of electric vehicles, which comprehensively considers the energy management strategy of autonomous decision-making in adaptive cruising of electric vehicles, through the separate modeling of information layer, physical layer and energy management layer, and driving safety The multi-objective collaborative optimization problem of power consumption and battery life is solved. It can not only ensure the safety and real-time performance of the car-following process, improve driving efficiency and relieve traffic pressure, but also reduce the cost loss during the car-following process, adding battery life loss and power loss to the objective function, which greatly weighs the power attenuation and battery capacity decline, effectively inhibiting battery aging, reducing the damage to the environment of decommissioned batteries and the frequency of battery replacement, and greatly improving the driving economy. With the development of 3C and Internet of Everything technology, the advantages and beneficial effects of the present invention can be further manifested.

Description

technical field [0001] The invention relates to the technical field of electric vehicle energy management, in particular to an energy management method for multi-objective real-time collaborative optimization based on a cyber-physical energy system (CPES) for adaptive cruise of an electric vehicle (EV). Background technique [0002] For electric vehicles, accurately obtaining power loss and battery life loss and formulating a suitable energy management strategy (EMS) has a very important impact on driving economy. And with the development of technologies such as adaptive cruise and unmanned driving, the design of energy management strategies increasingly needs to consider the influence of external factors such as the surrounding environment, future traffic information, and road state information. At present, there have been some driving road conditions and environmental monitoring methods based on cyber-physical systems (CPS), but there is still a lack of comprehensive contr...

AI Technical Summary

Problems solved by technology

At present, there have been some driving road conditions and environmental monitoring methods based on cyber-physical systems (CPS), but there is still a lack of comprehensive control strategies that can organically combine traffic conditions, surrounding environment and other information with electric vehicle energy management. , which limits the efficient energy management of electric vehicles during adaptive cruise or unmanned autonomous driving

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