Optimization of Engine Control Strategies for Low Fuel Consumption in Heavy-Duty Commercial Vehicles
作者机构：School of Mechanical and Electrical EngineeringGuilin University of Electronic TechnologyGuilin541004China Technology Center of Commercial VehicleDongfeng Liuzhou Motor Co.Ltd.Liuzhou545005China
出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)
年 卷 期：2023年第137卷第12期
页 面：2693-2714页
核心收录：
基 金：This work was supported in part by the Science and Technology Major Project of Guangxi under Grant AA22068001 in part by the Key Research and Development Program of Guangxi AB21196029 in part by the Project of National Natural Science Foundation of China 51965012 in part by the Scientific Research and TechnologyDevelopment in Liuzhou 2022AAA0102,2021AAA0104 and 2021AAA0112 in part by Agricultural Science and Technology Innovation and Extension Special Project of Jiangsu Province NJ2021-21,in part by the Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology,in part by the Guilin University of Electronic Technology 20-065-40-004Z in part by the Innovation Project of GUET Graduate Education 2022YCXS017.
主 题：Fuel consumption heavy-duty commercial vehicle engine control optimal control
摘 要：The reduction of fuel consumption in engines is always considered of vital importance.Along these lines,in this work,this goal was attained by optimizing the heavy-duty commercial vehicle engine control strategy.More specifically,at first,a general first principles model for heavy-duty commercial vehicles and a transient fuel consumptionmodel for heavy-duty commercial vehicles were developed and the parameters were adjusted to fit the empirical data.The accuracy of the proposed modelwas demonstrated fromthe stage and the final results.Next,the control optimization problem resulting in low fuel consumption in heavy commercial vehicles was described,with minimal fuel usage as the optimization goal and throttle opening as the control variable.Then,a time-continuous engine management approach was assessed.Next,the factors that influence low fuel consumption in heavy-duty commercial vehicles were systematically examined.To reduce the computing complexity,the control strategies related to the time constraints of the engine were parametrized using three different methods.The most effective solution was obtained by applying a global optimization strategy because the constrained optimization problem was nonlinear.Finally,the effectiveness of the low-fuel consumption engine control strategy was demonstrated by comparing the simulated and field test results.
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