{"title":"Energy efficient torque control using integrated battery-electric vehicle model","authors":"R. Ristiana, A. S. Rohman, A. Purwadi, C. Machbub","doi":"10.1109/ICSENGT.2017.8123450","DOIUrl":null,"url":null,"abstract":"This paper validates the advantage of using an integrated electric vehicle-battery model in torque control application. In the integrated electric vehicle-battery model, battery dynamics is explicitly included in the model. A well-known linear quadratic integral (LQI) design is adopted here to have an optimal controller with zero tracking error. The energy consumption is, however, observed through several energy consumption formulations. The performance index of the LQI is set to include input-state multiplication, i.e. representing one usual form of energy formulation. The controller designs are performed using linearized model of the integrated electric vehicle-battery model. By applying the linear LQI control to the non-linear integrated electric vehicle battery model, simulations are then taken. The simulation result shows that torque motor control with the inclusion of input-state multiplication in the LQI's performance index present a more energy efficient control in comparison to LQI design without such inclusion in its performance index. This may lead to a potential use of integrated electric vehicle battery model to have an efficient battery usage in controlling an electric vehicle.","PeriodicalId":350572,"journal":{"name":"2017 7th IEEE International Conference on System Engineering and Technology (ICSET)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th IEEE International Conference on System Engineering and Technology (ICSET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENGT.2017.8123450","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This paper validates the advantage of using an integrated electric vehicle-battery model in torque control application. In the integrated electric vehicle-battery model, battery dynamics is explicitly included in the model. A well-known linear quadratic integral (LQI) design is adopted here to have an optimal controller with zero tracking error. The energy consumption is, however, observed through several energy consumption formulations. The performance index of the LQI is set to include input-state multiplication, i.e. representing one usual form of energy formulation. The controller designs are performed using linearized model of the integrated electric vehicle-battery model. By applying the linear LQI control to the non-linear integrated electric vehicle battery model, simulations are then taken. The simulation result shows that torque motor control with the inclusion of input-state multiplication in the LQI's performance index present a more energy efficient control in comparison to LQI design without such inclusion in its performance index. This may lead to a potential use of integrated electric vehicle battery model to have an efficient battery usage in controlling an electric vehicle.