Research On Configuration Optimization And Parameter Calibration Method Of Hybrid Electric Bus

As an important part of new energy commercial vehicles,plug-in hybrid electric buses have been sought after by the major automotive manufacturers for their excellent fuel economy and emissions.At present,several hybrid system configurations have been derived on the market.There are many differences in the configuration in terms of stability,economy,and layout difficulty.Major automotive manufacturers formulate the configuration plans based on technical experience accumulation,manufacturing costs and configuration own characteristics.However,it is still unclear which configuration is better,thus forming the problem of how to identify the best configuration.The calibration of the vehicle controller is an important part of the modern development method of hybrid vehicles.The calibration efficiency affects the entire development cycle and cost control,and the calibration quality is related to the performance of the vehicle.The current calibration is based on a calibration tool,and the parameters are adjusted by trial and error under specific driving conditions depending on experience.The calibration cycle is long and the calibration results have poor adaptive calibration of driving conditions.Therefore,research on the method of calibrating control parameters with integrated high efficiency and adaptability to working conditions is an important guarantee for improving the calibration efficiency,giving full play to the energy saving and emission reduction potential,and realizing the commercialization of the entire vehicle.Therefore,research on calibration methods with high efficiency and good adaptive calibration of driving conditions is an important guarantee for improving the calibration efficiency,giving full play to the energy saving and emission reduction potential,and realizing the production of complete vehicles.This paper relies on the "High-cost-performance commercial vehicle hybrid system development and vehicle integration" project,focusing on the two issues of hybrid configuration optimization and vehicle controller parameter calibration method research.The main research contents include the following.Choose the best hybrid configuration.Based on the vehicle whole life cycle cost theory,the whole life cycle cost model of configuration is established.This model is used to choose the best hybrid configuration of,and sensitivity analysis is used to verify the rationality of the optimal results.Formulate an efficient,standardized,and orderly vehicle controller parameter calibration method.Taking the best configuration as the research object.Firstly,formulate the response of the calibration system.In order to eliminate the impact of battery imbalance during the simulation as much as possible,this paper proposes a theoretical fuel consumption calculation model as the economic evaluation index of the vehicle.Secondly,based on the analysis of the vehicle energy management strategy,eight one-dimensional control parameters are extracted as calibration parameters.The feasible range of each calibration parameter is determined through theoretical analysis and experience.Then,in order to identify key calibration parameters,provide calibration paths,and improve calibration efficiency,a method based on experimental design and proxy model is proposed for sensitivity analysis and main effect diagram drawing of calibration parameters.Finally,based on the iSIGHT and MATLAB joint simulation platform,the calibration parameters are globally optimized to obtain the global optimal combination of calibration parameters.Carry out research on adaptive calibration of driving conditions.The differences are confirmed by several parameter calibration results in different driving conditions and find out the rules.From the perspective of vehicle component characteristics and external driving conditions,the reasons for the differences in the calibration results of the three key calibration parameters are analyzed.The statistical analysis method is used to find the multivariate linear relationship between the characteristic parameters of the driving conditions and the optimal values of the key calibration parameters,and to find the adaptability law of the calibration parameters.Provide reference data for the vehicle controller calibration under different driving conditions in different regions,indicate the calibration direction,and improve the efficiency of parameter calibration.