Trajectory Optimization-Based Auxiliary Power Unit Control Strategy for an Extended Range Electric Vehicle

2017 ◽  
Vol 66 (12) ◽  
pp. 10866-10874 ◽  
Author(s):  
Xi Zhang ◽  
Zixian Wu ◽  
Xiaosong Hu ◽  
Wei Qian ◽  
Zhe Li
Keyword(s):  
Electric Vehicle ◽  
Power Unit ◽  
Control Strategy ◽  
Trajectory Optimization ◽  
Auxiliary Power Unit ◽  
Auxiliary Power ◽  
Extended Range

Modeling and Simulation of the Auxiliary Power System in Extended Range Electric Vehicle

2013 ◽  
Vol 397-400 ◽  
pp. 1858-1862 ◽  
Author(s):  
Ling Shan Chen ◽  
Xiao Le Wang ◽  
Xiang Er Huang ◽  
Pin Gan ◽  
Wei Cheng
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Power Unit ◽  
Engine Speed ◽  
Torque Control ◽  
Decoupling Control ◽  
Vehicle Simulation ◽  
Auxiliary Power Unit ◽  
Auxiliary Power ◽  
Extended Range

To study the performance of auxiliary power unit in extended range electric vehicle, simulation model of auxiliary power unit and its control system are established with MATLAB/Simulink. The method of decoupling control achieved engine speed control and generator torque control. Finally actual power responds change of required power quickly.

scholarly journals Powering Mode-Integrated Energy Management Strategy for a Plug-In Hybrid Electric Truck with an Automatic Mechanical Transmission Based on Pontryagin’s Minimum Principle

2018 ◽  
Vol 10 (10) ◽  
pp. 3758 ◽  
Author(s):  
Shaobo Xie ◽  
Xiaosong Hu ◽  
Kun Lang ◽  
Shanwei Qi ◽  
Tong Liu
Keyword(s):  
Dynamic Programming ◽  
Power Unit ◽  
Energy Management ◽  
Control Strategy ◽  
Minimum Principle ◽  
Mechanical Transmission ◽  
Auxiliary Power Unit ◽  
Auxiliary Power ◽  
Pontryagin's Minimum Principle ◽  
Hybrid Electric

Pontryagin’s Minimum Principle (PMP) has a significant computational advantage over dynamic programming for energy management issues of hybrid electric vehicles. However, minimizing the total energy consumption for a plug-in hybrid electric vehicle based on PMP is not always a two-point boundary value problem (TPBVP), as the optimal solution of a powering mode will be either a pure-electric driving mode or a hybrid discharging mode, depending on the trip distance. In this paper, based on a plug-in hybrid electric truck (PHET) equipped with an automatic mechanical transmission (AMT), we propose an integrated control strategy to flexibly identify the optimal powering mode in accordance with different trip lengths, where an electric-only-mode decision module is incorporated into the TPBVP by judging the auxiliary power unit state and the final battery state-of-charge (SOC) level. For the hybrid mode, the PMP-based energy management problem is converted to a normal TPBVP and solved by using a shooting method. Moreover, the energy management for the plug-in hybrid electric truck with an AMT involves simultaneously optimizing the power distribution between the auxiliary power unit (APU) and the battery, as well as the gear-shifting choice. The simulation results with long- and short-distance scenarios indicate the flexibility of the PMP-based strategy. Furthermore, the proposed control strategy is compared with dynamic programming (DP) and a rule-based charge-depleting and charge-sustaining (CD-CS) strategy to evaluate its performance in terms of computational accuracy and time efficiency.

Technological analysis and fuel consumption saving potential of different gas turbine thermodynamic configurations for series hybrid electric vehicles

2019 ◽  
Vol 234 (6) ◽  
pp. 1544-1562
Author(s):  
Wissam Bou Nader ◽  
Yuan Cheng ◽  
Emmanuel Nault ◽  
Alexandre Reine ◽  
Samer Wakim ◽  
...  
Keyword(s):  
Gas Turbine ◽  
Fuel Consumption ◽  
Electric Vehicle ◽  
Power Unit ◽  
Hybrid Electric Vehicle ◽  
Auxiliary Power Unit ◽  
Auxiliary Power ◽  
Series Hybrid Electric Vehicle ◽  
Hybrid Electric ◽  
Technological Analysis

Gas turbine systems are among potential energy converters to substitute the internal combustion engine as auxiliary power unit in future series hybrid electric vehicle powertrains. Fuel consumption of these auxiliary power units in the series hybrid electric vehicle strongly relies on the energy converter efficiency and power-to-weight ratio as well as on the energy management strategy deployed on-board. This paper presents a technological analysis and investigates the potential of fuel consumption savings of a series hybrid electric vehicle using different gas turbine–system thermodynamic configurations. These include a simple gas turbine, a regenerative gas turbine, an intercooler regenerative gas turbine, and an intercooler regenerative reheat gas turbine. An energetic and technological analysis is conducted to identify the systems’ efficiency and power-to-weight ratio for different operating temperatures. A series hybrid electric vehicle model is developed and the different gas turbine–system configurations are integrated as auxiliary power units. A bi-level optimization method is proposed to optimize the powertrain. It consists of coupling the non-dominated sorting genetic algorithm to the dynamic programming to minimize the fuel consumption and the number of switching ON/OFF of the auxiliary power unit, which impacts its durability. Fuel consumption simulations are performed on the worldwide-harmonized light vehicles test cycle while considering the electric and thermal comfort vehicle energetic needs. Results show that the intercooler regenerative reheat gas turbine–auxiliary power unit presents an improved fuel consumption compared with the other investigated gas turbine systems and a good potential for implementation in series hybrid electric vehicles.

The Design of APU(Auxiliary Power Unit) Control Strategy

2013 ◽  
Vol 724-725 ◽  
pp. 1440-1443
Author(s):  
Ling Shan Chen ◽  
Xiang Er Huang ◽  
Pin Gan ◽  
Wei Cheng
Keyword(s):  
Power Unit ◽  
Control Strategy ◽  
Pid Control ◽  
Control Algorithm ◽  
Bench Test ◽  
Control Torque ◽  
Auxiliary Power Unit ◽  
Power Simulation ◽  
Auxiliary Power ◽  
Entire Vehicle

APU(Auxiliary Power Unit) control strategy was designed by the target of actual output power following the demanded power and the fuel consumption minimum. The preset demanded power of the entire vehicle has been decoupling controlled, using PID control algorithm to control the speed of the engine and vector control algorithm to control torque of generator, to realize decoupling control of the demanded power. Simulation result and bench test verified control strategy and achieved the goal of vehicle fuel saving 20% by nine “NEDC” cycles.

The Study on 45KW Range Extended Electric Vehicle Auxiliary Power Unit

2014 ◽  
Vol 556-562 ◽  
pp. 2128-2132
Author(s):  
Yun Long Guo ◽  
Xu Dong Wang ◽  
Jiang Long
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Power Unit ◽  
Smooth Transition ◽  
Constant Current ◽  
Single Chip ◽  
Control Plan ◽  
Auxiliary Power Unit ◽  
Auxiliary Power ◽  
Communication Module

Range Extended Electric Vehicle (REEV) is a vehicle in smooth transition to pure electric vehicle. According to the functional analysis to REEV, propose the overall design of auxiliary power unit, develop an APU control system. This control system is based on infineon XC164CS Single Chip Microcomputer, use modular method, design and develops the data acquisition module, IGBT driver module, CAN communication module and conducts bench experiment to the system. The bench testing shows the system has high sampling precision, fast speed, good stability and easy to debug. Basic APU strategy control plan is designed to ensure electricity generation with first constant current, then constant voltage work mode, and can perform the fault diagnosis function, meet practical requirements, and achieve the expected control purpose.

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