Planetary series-parallel hybrid electric vehicle energy optimization method based on battery heat and aging

Abstract

The invention discloses a planetary series-parallel hybrid electric vehicle energy optimization method based on battery heat and aging, and aims to solve the problems of energy distribution of a planetary series-parallel hybrid electric vehicle and gradual attenuation of the performance of a battery in work, the control method comprises the following steps: firstly, establishing a control-orientedbattery heat model and a battery aging model; wherein the battery aging model comprises a calendar aging model and a cycle aging model, then taking the sum of the fuel consumption cost and the battery life attenuation cost of each stage as an optimization objective function, and finally formulating an energy management optimization control strategy based on model prediction control; wherein the model prediction control comprises three links of model prediction, rolling optimization and feedback correction, utilizing a Markov model for prediction, and adopting a dynamic programming algorithm for solving in a prediction time domain. The method provided by the invention considers the heat and aging of the battery, effectively slows down the attenuation degree of the service life of the battery, ensures the fuel economy of the vehicle, and reduces the cost of the whole life cycle of the vehicle.

Description

technical field [0001] The invention belongs to the technical field of hybrid electric vehicle energy management, and more precisely, the invention relates to an energy optimization method for a planetary hybrid electric vehicle based on battery heat and aging. Background technique [0002] There are multiple power sources in hybrid electric vehicles, and it is necessary to coordinate the working status of each power source to meet the power demand of the vehicle, and then give full play to its energy-saving advantages. The performance of the power battery directly affects the performance of the drive motor, thereby affecting the fuel economy and emission performance of the vehicle, which is the key to the performance of the vehicle. Studies have shown that fuel economy and battery life attenuation are mutually influential. The current research on energy management optimization strategies mainly achieves the best fuel economy of vehicles by selecting appropriate performance ...

AI Technical Summary

Problems solved by technology

Studies have shown that fuel economy and battery life attenuation are mutually influential. The current research on energy management optimization strategies mainly achieves the best fuel economy of vehicles by selecting appropriate performance indicators and optimization methods, and seldom considers the impact of power battery life attenuation. Fuel Economy Impact

[0003] Most of the current energy management optimization methods for hybrid electric vehicles are based on dynamic programming, resulting in low computational efficiency, and do not take into account the impact of battery temperature on battery life during vehicle operation

For example, the patent CN107878445B, published on 2019-01-18, discloses an energy optimization management method for hybrid electric vehicles considering battery performance attenuation. This method optimizes battery performance for typical urban conditions in China to ensure fuel economy. However, the effect of temperature on battery life decay is not considered

Patent CN111552185A, published on 2020-8-18, discloses a PMP-based energy management method for plug-in hybrid electric vehicle model measurement control, which can obtain optimal torque distribution and ensure fuel economy. Accurate control-oriented battery aging model

Images