The parameter optimization coupled with the control strategy and target driving cycle directly affects the performance of vehicles. This paper proposes an optimization approach for a plug-in hybrid electric truck (PHE...
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The parameter optimization coupled with the control strategy and target driving cycle directly affects the performance of vehicles. This paper proposes an optimization approach for a plug-in hybrid electric truck (PHET), which considers comprehensive performances including fuel economy, emissions, vehicle drivability, safety, and dynamics. First, 10 initial design parameters are selected from powertrain components and a real-time energy management strategy (EMS). Then, a definitive screening design (DSD) is proposed to simplify the design parameters. Finally, non-dominated sorting genetic algorithm-III (NSGA-III) is proposed to solve a constrained many-objective optimization problem with 9 objectives, and the design space is refined through a sensitivity analysis. Simulation results demonstrate that the proposed optimization approach can achieve significant improvements regarding both the comprehensive performances, power repartition, and system efficiency. The simulation is conducted both on Chinese Heavy-Duty Commercial Vehicle Test Cycle (CHTC) and Urban Dynamometer Driving Schedule for Heavy-Duty Vehicles (UDDSHDV). In addition, to guide a decision maker (DM) to make trade-offs among many objectives, preferences are also incorporated into the solutions.
Programmable logic controller (PLC) is a reliable platform for regulatory control in industrial environment. Capability of PLC as an automation solution platform is getting enhanced over the years. Advancements in PLC...
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ISBN:
(纸本)9781479977871
Programmable logic controller (PLC) is a reliable platform for regulatory control in industrial environment. Capability of PLC as an automation solution platform is getting enhanced over the years. Advancements in PLC capability open up possibility of deploying advanced control and optimization solutions on PLC. optimization solver is primary building block of the advanced automation solutions;feasibility of deploying open source optimization solvers on PLC is uncertain because of platform related constraints. This work evaluates feasibility of deploying open source optimization solvers on PLC and highlights deployment challenges for PLC platform. optimization complexity is varied using widely used generalized test functions to assess limitations of PLC platform. A realistic case study of parallel compressor train load allocation optimization is presented to validate the analysis findings and discuss a practical application of optimization on PLC platform.
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