This paper presents parametric analysis of driving range of electric vehicles driven by V-type interior permanent magnet motors aiming at maximum driving range,i.e.,minimal total energy consumption of the motors over ...This paper presents parametric analysis of driving range of electric vehicles driven by V-type interior permanent magnet motors aiming at maximum driving range,i.e.,minimal total energy consumption of the motors over a driving cycle.Influence of design parameters including tooth width,slot depth,split ratio(the ratio of inner diameter to outer diameter of the stator),and V-type magnet angle on the energy consumption of the motors and driving range of electric vehicles over a driving cycle is investigated in detail.The investigation is carried out for two typical driving cycles with different characteristics to represent different conditions:One is high-speed,low-torque cycle-Highway Fuel Economy Test and the other is low-speed,high-torque cycle-Artemis Urban Driving Cycle.It shows that for both driving cycles,the same parameters may have different influence on the energy consumption of the motors,as well as driving range of electric vehicles.展开更多
In this paper,key dimensions of a co-axial dual-mechanical-port flux-switching permanent magnet(CADMP-FSPM)machine for fuel-based extended range electric vehicles(ER-EVs),including split ratio,stator/rotor pole arcs,r...In this paper,key dimensions of a co-axial dual-mechanical-port flux-switching permanent magnet(CADMP-FSPM)machine for fuel-based extended range electric vehicles(ER-EVs),including split ratio,stator/rotor pole arcs,rotor yoke thickness,etc.,are analyzed and optimized.Firstly,the topologies and operation principles of an exampled 3-phase CADMP-FSPM are introduced briefly,in which an inner-rotor FSPM machine with 12-stator-slots/10-rotor-poles for high-speed generation and an outer-rotor FSPM machine with 12-stator-slots/22-rotor-poles for low-speed motoring are assembled co-axially.Then,the relationship between the key dimensions and electromagnetic performance,particularly for electromagnetic torque(power),of the CADMP-FSPM machine is studied by 2D-finite element analysis(FEA).Further,the reasonable matches of split ratio,rotor/stator pole arcs and rotor yoke are determined and the original CADMP-FSPM machine is optimized correspondingly.Finally,the static characteristics,including no-load PM flux-linkage,electro-motive-force(EMF),winding inductances,cogging torques and electromagnetic torques,of the original and optimized machines are compared by 2D-FEA.The results verify that the optimized CADMP-FSPM machine can exhibit improved torque characteristics than the original one,i.e.,the torque ripples of the inner and outer machines can be reduced by 22.7%and 4.7%,respectively,and the average torque of the inner and outer machines can be increased by 0.43Nm and 2Nm,respectively.展开更多
In order to make maximum use of the EV （electric vehicle） battery, evaluating the remaining battery capacity and the power consumption is important. Evaluation method of the remaining battery capacity with accuracy ...In order to make maximum use of the EV （electric vehicle） battery, evaluating the remaining battery capacity and the power consumption is important. Evaluation method of the remaining battery capacity with accuracy has been proposed. Moreover, the evaluation method of the power consumption for traveling has been proposed. However, the power consumption for vehicle-mounted air-conditioner is 30%. It is necessary to calculate the power consumption for both traveling and air-conditioning. In this paper, the authors have constructed a mathematical model which calculates the EV power consumption for both traveling and air-conditioning. The calculated results of this model have been compared to actual traveling data. In addition, factors which have a impact on the EV power consumption have been studied. As a result, the EV power consumption is greately varied by slope resistance, acceleration resistance and required air-conditioning load. Moreover, it is clarified that the air-conditioner consumes approximately 25% to 50% of the total power consumption in a hot summer day. In addition, the acceleration and the air-conditioning load differ depending on each vehicle driver. Therefore, in order to evaluate the EV power consumption practically, it is necessary to reflect the characteristics of each vehicle driver.展开更多
Due to manufacturing variation,battery cells often possess heterogeneous characteristics,leading to battery state-of-charge variation in real-time.Since the lowest cell state-of-charge determines the useful life of ba...Due to manufacturing variation,battery cells often possess heterogeneous characteristics,leading to battery state-of-charge variation in real-time.Since the lowest cell state-of-charge determines the useful life of battery pack,such variation can negatively impact the battery performance and electric vehicles range.Existing research has been focused on control design to mitigate cell imbalance.However,it is yet unclear how much impacts the cell imbalance can have on electric vehicle range.This paper closes this knowledge gap by using a simulation environment consisting of real-world driving speed data,vehicle longitudinal control,propulsion and vehicle dynamics,and cell level battery modeling.In particular,each battery cell is modeled as an equivalent circuit model,and variations among cell parameters are introduced to assess their impact on electric vehicles range and to identify the most influential parameter variations.Simulation results and analysis can be used to assist balancing control design and to benchmark control performance.展开更多
基金This work was supported by the National Natural Science Foundation of China under Grant 51677169 and Grant 51637009.
文摘This paper presents parametric analysis of driving range of electric vehicles driven by V-type interior permanent magnet motors aiming at maximum driving range,i.e.,minimal total energy consumption of the motors over a driving cycle.Influence of design parameters including tooth width,slot depth,split ratio(the ratio of inner diameter to outer diameter of the stator),and V-type magnet angle on the energy consumption of the motors and driving range of electric vehicles over a driving cycle is investigated in detail.The investigation is carried out for two typical driving cycles with different characteristics to represent different conditions:One is high-speed,low-torque cycle-Highway Fuel Economy Test and the other is low-speed,high-torque cycle-Artemis Urban Driving Cycle.It shows that for both driving cycles,the same parameters may have different influence on the energy consumption of the motors,as well as driving range of electric vehicles.
基金This work was supported by The National Basic Research Program(973 Program)(2013CB035603).
文摘In this paper,key dimensions of a co-axial dual-mechanical-port flux-switching permanent magnet(CADMP-FSPM)machine for fuel-based extended range electric vehicles(ER-EVs),including split ratio,stator/rotor pole arcs,rotor yoke thickness,etc.,are analyzed and optimized.Firstly,the topologies and operation principles of an exampled 3-phase CADMP-FSPM are introduced briefly,in which an inner-rotor FSPM machine with 12-stator-slots/10-rotor-poles for high-speed generation and an outer-rotor FSPM machine with 12-stator-slots/22-rotor-poles for low-speed motoring are assembled co-axially.Then,the relationship between the key dimensions and electromagnetic performance,particularly for electromagnetic torque(power),of the CADMP-FSPM machine is studied by 2D-finite element analysis(FEA).Further,the reasonable matches of split ratio,rotor/stator pole arcs and rotor yoke are determined and the original CADMP-FSPM machine is optimized correspondingly.Finally,the static characteristics,including no-load PM flux-linkage,electro-motive-force(EMF),winding inductances,cogging torques and electromagnetic torques,of the original and optimized machines are compared by 2D-FEA.The results verify that the optimized CADMP-FSPM machine can exhibit improved torque characteristics than the original one,i.e.,the torque ripples of the inner and outer machines can be reduced by 22.7%and 4.7%,respectively,and the average torque of the inner and outer machines can be increased by 0.43Nm and 2Nm,respectively.
文摘In order to make maximum use of the EV （electric vehicle） battery, evaluating the remaining battery capacity and the power consumption is important. Evaluation method of the remaining battery capacity with accuracy has been proposed. Moreover, the evaluation method of the power consumption for traveling has been proposed. However, the power consumption for vehicle-mounted air-conditioner is 30%. It is necessary to calculate the power consumption for both traveling and air-conditioning. In this paper, the authors have constructed a mathematical model which calculates the EV power consumption for both traveling and air-conditioning. The calculated results of this model have been compared to actual traveling data. In addition, factors which have a impact on the EV power consumption have been studied. As a result, the EV power consumption is greately varied by slope resistance, acceleration resistance and required air-conditioning load. Moreover, it is clarified that the air-conditioner consumes approximately 25% to 50% of the total power consumption in a hot summer day. In addition, the acceleration and the air-conditioning load differ depending on each vehicle driver. Therefore, in order to evaluate the EV power consumption practically, it is necessary to reflect the characteristics of each vehicle driver.
文摘Due to manufacturing variation,battery cells often possess heterogeneous characteristics,leading to battery state-of-charge variation in real-time.Since the lowest cell state-of-charge determines the useful life of battery pack,such variation can negatively impact the battery performance and electric vehicles range.Existing research has been focused on control design to mitigate cell imbalance.However,it is yet unclear how much impacts the cell imbalance can have on electric vehicle range.This paper closes this knowledge gap by using a simulation environment consisting of real-world driving speed data,vehicle longitudinal control,propulsion and vehicle dynamics,and cell level battery modeling.In particular,each battery cell is modeled as an equivalent circuit model,and variations among cell parameters are introduced to assess their impact on electric vehicles range and to identify the most influential parameter variations.Simulation results and analysis can be used to assist balancing control design and to benchmark control performance.
