DEVELOPMENT OF A LIGHT SHORT RANGE ELECTRIC COMMUTER VEHICLE

Similar documents
A conceptual design of main components sizing for UMT PHEV powertrain

Battery-Ultracapacitor based Hybrid Energy System for Standalone power supply and Hybrid Electric Vehicles - Part I: Simulation and Economic Analysis

Dynamic Modeling and Simulation of a Series Motor Driven Battery Electric Vehicle Integrated With an Ultra Capacitor

Transient analysis of a new outer-rotor permanent-magnet brushless DC drive using circuit-field-torque coupled timestepping finite-element method

Mathematical Model of Electric Vehicle Power Consumption for Traveling and Air-Conditioning

MODELING, VALIDATION AND ANALYSIS OF HMMWV XM1124 HYBRID POWERTRAIN

Perodua Myvi engine fuel consumption map and fuel economy vehicle simulation on the drive cycles based on Malaysian roads

Supercapacitors For Load-Levelling In Hybrid Vehicles

IPRO Spring 2003 Hybrid Electric Vehicles: Simulation, Design, and Implementation

HYBRID ELECTRIC VEHICLE DESIGN AND ANALYSIS

Design and Analysis of Radial Flux Permanent Magnet Brushless DC Motor for Gearless Elevators

PERFORMANCE OF ELECTRIC VEHICLES. Pierre Duysinx University of Liège Academic year

An Improved Powertrain Topology for Fuel Cell-Battery-Ultracapacitor Vehicles

ENERGY EXTRACTION FROM CONVENTIONAL BRAKING SYSTEM OF AUTOMOBILE

Sustainable Transport & Mobility for Cities (Durban 30 March 2017)

Regenerative Braking for an Electric Vehicle Using Ultracapacitors and a Buck-Boost Converter

Fuel consumption analysis of motor vehicle

Grey Box System Identification of Bus Mass

Control of PMS Machine in Small Electric Karting to Improve the output Power Didi Istardi 1,a, Prasaja Wikanta 2,b

Design of Power System Control in Hybrid Electric. Vehicle

Ardalan Vahidi. Clemson Renewable Energy Systems Lab Mechanical Engineering Clemson University

Development of a High Efficiency Induction Motor and the Estimation of Energy Conservation Effect

1/7. The series hybrid permits the internal combustion engine to operate at optimal speed for any given power requirement.

Modelling and Control of Ultracapacitor based Bidirectional DC-DC converter systems PhD Scholar : Saichand K

SINGLE-PHASE LINE START PERMANENT MAGNET SYNCHRONOUS MOTOR WITH SKEWED STATOR*

Universal computer aided design for electrical machines

Approach for determining WLTPbased targets for the EU CO 2 Regulation for Light Duty Vehicles

Flywheel energy storage retrofit system

CHAPTER 3 DESIGN OF THE LIMITED ANGLE BRUSHLESS TORQUE MOTOR

Optimization Design of an Interior Permanent Magnet Motor for Electro Hydraulic Power Steering

Optimizing Energy Consumption in Caltrain s Electric Distribution System Nick Tang

A Permanent-magnet Hybrid In-wheel Motor Drive for Electric Vehicles

Analysis of regenerative braking effect to improve fuel economy for E-REV bus based on simulation

Intelligent Power Management of Electric Vehicle with Li-Ion Battery Sheng Chen 1,a, Chih-Chen Chen 2,b

Construction of a Hybrid Electrical Racing Kart as a Student Project

2014 ELECTRICAL TECHNOLOGY

Improvement the Possibilities of Capacitive Energy Storage in Metro Railcar by Simulation

Application Information

Components for Powertrain Electrification

Hybrid Vehicles. Electric and. Design Fundamentals. Iqbal Husain SECOND EDITION. Taylor & Francis Group, an informa business

Effectiveness of Plug-in Hybrid Electric Vehicle Validated by Analysis of Real World Driving Data

Capacity Design of Supercapacitor Battery Hybrid Energy Storage System with Repetitive Charging via Wireless Power Transfer

1 sur 6 30/09/ :35

High performance and low CO 2 from a Flybrid mechanical kinetic energy recovery system

Power Electronics & Drives [Simulink, Hardware-Open & Closed Loop]

CHAPTER 4 : RESISTANCE TO PROGRESS OF A VEHICLE - MEASUREMENT METHOD ON THE ROAD - SIMULATION ON A CHASSIS DYNAMOMETER

DESIGN OF AXIAL FLUX BRUSHLESS DC MOTOR BASED ON 3D FINITE ELEMENT METHOD FOR UNMANNED ELECTRIC VEHICLE APPLICATIONS

Journal of Asian Scientific Research. DESIGN OF SWITCHED RELUCTANCE MOTOR FOR ELEVATOR APPLICATION T. Dinesh Kumar. A. Nagarajan

SIMULATION OF ELECTRIC VEHICLE AND COMPARISON OF ELECTRIC POWER DEMAND WITH DIFFERENT DRIVE CYCLE

A flywheel energy storage system for an isolated micro-grid

Flybrid mechanical kinetic energy

INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY (IJEET)

INWHEEL SRM DESIGN WITH HIGH AVERAGE TORQUE AND LOW TORQUE RIPPLE

PERFORMANCE ANALYSIS OF VARIOUS ULTRACAPACITOR AND ITS HYBRID WITH BATTERIES

USING OF dspace DS1103 FOR ELECTRIC VEHICLE MODELING

Modelling and Simulation Study on a Series-parallel Hybrid Electric Vehicle

A New Control Algorithm for Doubly Fed Induction Motor with Inverters Supplied by a PV and Battery Operating in Constant Torque Region

TORQUE-MOTORS. as Actuators in Intake and Exhaust System. SONCEBOZ Rue Rosselet-Challandes 5 CH-2605 Sonceboz.

Battery Evaluation for Plug-In Hybrid Electric Vehicles

The Effects of Magnetic Circuit Geometry on Torque Generation of 8/14 Switched Reluctance Machine

Global Energy Optimization of a Light-Duty Fuel-Cell Vehicle

Dual power flow Interface for EV, HEV, and PHEV Applications

Effect of driving patterns on fuel-economy for diesel and hybrid electric city buses

Hydrogen Fuel Cell and KERS Technologies For Powering Urban Bus With Zero Emission Energy Cycle

APVC2009. Genetic Algorithm for UTS Plug-in Hybrid Electric Vehicle Parameter Optimization. Abdul Rahman SALISA 1,2 Nong ZHANG 1 and Jianguo ZHU 1

Dynamic Behaviour of Asynchronous Generator In Stand-Alone Mode Under Load Perturbation Using MATLAB/SIMULINK

Performance analysis of a hybrid storage system for electric vehicles 电动汽车混合存储系统之性能分析

Vehicle Dynamics and Drive Control for Adaptive Cruise Vehicles

Rotor Position Detection of CPPM Belt Starter Generator with Trapezoidal Back EMF using Six Hall Sensors

Drivetrain design for an ultra light electric vehicle with high efficiency

Hybrid energy storage optimal sizing for an e-bike

Hydraulic Flywheel Accumulator for Mobile Energy Storage

AT 2303 AUTOMOTIVE POLLUTION AND CONTROL Automobile Engineering Question Bank

Role of Aerodynamics and Thermal Management in the Vehicles of Tomorrow

a) Calculate the overall aerodynamic coefficient for the same temperature at altitude of 1000 m.

WLTP DHC subgroup. Draft methodology to develop WLTP drive cycle

Electric cars: Technology

Development of a Plug-In HEV Based on Novel Compound Power-Split Transmission

Technology in Transportation Exam 1 SOLUTIONS

MRC Field Trial Performance Report (Hugoton Deep Reservoir in Kansas) Revision 1.9

A Comprehensive Study on Speed Control of DC Motor with Field and Armature Control R.Soundara Rajan Dy. General Manager, Bharat Dynamics Limited

Providing Energy Management of a Fuel Cell-Battery Hybrid Electric Vehicle Fatma Keskin Arabul, Ibrahim Senol, Ahmet Yigit Arabul, Ali Rifat Boynuegri

Vertical Axis Wind Turbine Case Study: Cost and Losses associated with Variable Torque and Variable Speed Strategies

Mobile Renewable House

Traffic Micro-Simulation Assisted Tunnel Ventilation System Design

Investigation & Analysis of Three Phase Induction Motor Using Finite Element Method for Power Quality Improvement

Performance/cost comparison of induction-motor & permanent-magnet-motor in a hybrid electric car

Simulation of Indirect Field Oriented Control of Induction Machine in Hybrid Electrical Vehicle with MATLAB Simulink

MECA0500: PARALLEL HYBRID ELECTRIC VEHICLES. DESIGN AND CONTROL. Pierre Duysinx

Investigating the impact of track gradients on traction energy efficiency in freight transportation by railway

Efficiency Analysis of Powertrain with Toroidal Continuously Variable Transmission for Electric Vehicles

Mazda RX-8 Rotary Hydrogen Engine

Study of Motoring Operation of In-wheel Switched Reluctance Motor Drives for Electric Vehicles

Fuel Consumption, Exhaust Emission and Vehicle Performance Simulations of a Series-Hybrid Electric Non-Automotive Vehicle

A novel flux-controllable vernier permanent-magnet machine

Energy Harvesting Shock Absorbers

Energy Management and Hybrid Energy Storage in Metro Railcar

Electric Vehicle Simulation and Animation

Performance Simulation of Energy Storage Technologies for Renewable Energy Integration

Development Of Three Wheeler Electric Vehicle With BLDC Motor

Transcription:

DEVELOPMENT OF A LIGHT SHORT RANGE ELECTRIC COMMUTER VEHICLE Abstract B. Kennedy, D. Patterson, X. Yan and J. Swenson NT Centre for Energy Research Northern Territory University Darwin, NT. 99 E-mail: - Byron.Kennedy@ntu.edu.au In order to promote electric vehicle research in Darwin, the Northern Territory Centre for Energy Research in association with the Northern Territory Power and Water Authority (NT PAWA) is developing its own short-range electric commuter vehicle. Outlined below is the procedure used to determine the vehicle specification including range, acceleration and top speed as well as a justification of the type of vehicle used. Also outlined is the vehicle propulsion system which includes an innovative DC-DC converter utilising Maxwell ultracapacitors in parallel with Zinc Bromide batteries and a variable gap axial flux permanent magnet brushless DC machine (BDCM). 1. INTRODUCTION Electric vehicles in the past have been plagued with problems including poor performance, short range and a general lack of knowledge about how to design and run such vehicles. Advancements over the past 1 years, especially in the fields of battery research and high efficiency motors have led to more reliable vehicles with a longer range and excellent performance. The Northern Territory Centre for Energy Research has been involved with electric vehicles since 1987, designing their own solar car to compete in the World Solar Challenge. They have competed successfully in each race winning the Technical Award for Excellence in 1993 with an Axial Flux BDCM [1]. The natural progression from this was to develop its own electric vehicle through knowledge gained in solar car racing. Supported by the NT PAWA with an ARC SPIRT grant, this project involves using their BDCM, (now being sold commercially in America by New Generation Motors) and trialing Figure 1 NTU Brushless DC Motor this in a small two person commuter vehicle. 2. VEHICLE CHOICE / SPECIFICATION The aim of this Electric Vehicle (EV) project is to develop a small, lightweight commuter electric vehicle (CEV) used daily by commuters with the dual role of being used by companies for short range, known profile trips. In order to design a practical vehicle the following questions had to be answered: - what range is required, what acceleration rates will be adequate and what top speed is required for city driving. A typical commuter profile in Darwin is driving to work in the morning from the outer suburbs and home in the evening possibly with a side trip to the shops or to pick up children. This sort of profile is particularly suited to electric vehicle use, ie. short range with the ability to recharge while at work or at home. A study was conducted in the Darwin area to determine the number of people travelling to work in vehicles and the average number of people in each vehicle. A sample of the results over 1 hour on a major road into Darwin city during peak hour is shown in Table 1: Table 1 People in cars during morning peak hour Total Cars Counted 1767 Total No. of people 2228 Average People per car 1.26 % of 1 person cars 76.7% % of 1 and 2 people cars 98.2%

The results show that over 98% of the vehicles surveyed commute with either 1 or 2 people to work. A two-seat vehicle was therefore chosen for our CEV. 3. COMMUTER / METER READER DRIVING PROFILE In order to establish a commuter profile to work with, a datalogging system was installed in a PAWA meter reader vehicle. This profile is very similar to a Darwin commuter. The PAWA meter readers have three different profiles: - commercial, domestic and overnight. The commercial route involves driving short distances, leaving the car, inspecting meters, and continuing in this fashion for the rest of the day. Domestic routes involve driving into the suburbs usually along highways at high speed, followed by short slow driving to the final location. The third involves travelling hundreds of kilometres outside Darwin to the rural communities, which we shall not consider in this study. A typical days profile for the commercial route is shown in Figure 2. Of interest to this study is the average speed of ~45km/h obtained for all profiles. Correlating the data for all days studied the following results were also obtained. Firstly time required to accelerate to 6km/h was recorded with the results shown below in Figure 3. These results provided us with sufficient data to compile a system specification for the CEV. This is shown in Table 2: Table 2 Performance specification for CEV Parameter Goal Units Acceleration -6 km/h 9 secs Top Speed 9 km/h High Speed Gradeability 3% Grade 8 km/h 6% Grade (5m) 6 km/h Range between Charges 6 km 1 8 6 4 2 2 4 6 T im e (h) Figure 2 PAWA meter readers profile 16 14 12 1 8 6 4 Avg Speed Jan 2 Ave Speed Jan21 Ave Speed Jan 25 Avg Speed Feb 2 Average Speed 2 2 4 6 8 1 12 14 Time (s) Figure 3 Time to accelerate to 6km/h

4. VEHICLE POWER ANALYSIS Considering all the forces acting upon a vehicle we can determine the most important parameters of our CEV. Equation 1 gives the total power required to drive a vehicle. [2] P total =1/n (P acc + P clm + P rr + P aero ) (1) where: - P acc = [m x a ] x v = acceleration power P clm = [m x g x sin (α)] x v = power to climb grades P rr = [C rr x m x g x cos (α)] x v = power to overcome rolling resistance P aero = [1/2 x ρ x C d x A x (v-v w ) 2 ] x (v-v w ) = power to overcome aerodynamic drag Symbol m C rr g ρ C d A α v v w n a Table 3 Power equation parameters Description total vehicle mass co-efficient of rolling resistance Gravity Air density Co-eff. of aerodynamic drag Projected frontal area road slope vehicle velocity wind velocity Drive train efficiency vehicle acceleration If we assume the vehicle is travelling along the flat and not accelerating we can plot the 2 remaining components of total power. This is shown in we are most concerned with ie. <45km/h, is the rolling resistance drag. From Equation 1, the variables we need to minimise are vehicle mass, tyre-rolling resistance and of course maximisation of drive train efficiency. Therefore, in contrast to a solar car in which aerodynamic drag is the most important parameter to minimise, in commuter electric vehicles weight or mass must be minimised. This is hard to achieve by converting existing Internal Combustion Engine vehicles where mass is only a secondary concern. From all the above findings, the following parameters were rated in order of performance for vehicle choice: - minimisation of mass maximisation of drive train efficiency 2 seat vehicle aerodynamic shape 5. DERIVATION OF DRIVE TRAIN PARAMETERS From Table 2 we see that the range requirement for the commuter electric vehicle is 6km. A battery voltage of 12V was chosen for a number of reasons: - (1) accommodation of efficient boosting of ultracapacitor voltage ie. ultracapacitor voltage 23-46V (see Stage 1 Design below). (2) boosting of battery voltage only when the speed is greater than 6km/h ie. better efficiency at lower speeds 8. 6. 4. 2.. 2 4 6 8 Speed (km/h) Prr Paero Pwh An analysis of the vehicles power profile was conducted as shown in Figure 4. An estimation of range can be made from the power consumed while the vehicle is running. Data obtained indicates that for any day the average speed is 45km/h (see Figure 2). We will use this figure as the basis for calculating range ie. range @ 45km/h. Table 4 shows power consumed at 45km/h for the above parameters (Note:- assume flat road, no wind and not accelerating). Figure 4: Figure 4 Components of vehicle power v speed From this figure we can see that the most important factor in reducing power at the speeds Table 4 Vehicle power requirements at 45km/h v (km/h) P car total η total x η b P batt (W) 45 2434 83% 2933

Assuming an intended range of approximately 6km at this speed we can calculate the total capacity required for the batteries. Also factored into this equation are non-linearities in the system. Battery Capacity = (power @ 45km/h) x time (2) = 4.25 kw-hrs or = 35A-h @ 12V. 42A-h deep cycle Genesis EV batteries were therefore chosen for Stage 1 testing. The ultracapacitors, used primarily for acceleration and regeneration were sized according to acceleration data obtained from the meter reader vehicle. Above 45km/h the acceleration energy required increases dramatically and thus it is not economical to use super capacitors. To determine the number and voltage of ultra capacitors used, data was therefore analysed for accelerations up to speeds less than 45km/h The results are shown in Figure 5: 14 55.% 92 91 76.% and lead acid batteries to its higher-voltage side. The purpose of the ultracapacitors is for load levelling the battery and high-efficiency recovery of the regenerative braking energy [3]. Secondly, the converter serves as another bidirectional dc-dc converter, with the battery connected to the lower-voltage side and the motor/inverter to the higher-voltage side, for constant power operation of the brushless dc motor drive above its base speed, and its regeneration control. This boosts the DC bus voltage enabling overspeed of the motor to reach higher speeds road (>6km/h). 7. STAGE 2 DESIGN After the completion of Stage I, the CEV will trial a set of Zinc Bromide Batteries developed by Bjorn Johansen at Murdoch University in Perth [4]. These batteries are available in two forms, a flow battery where the electrolyte is held in tanks and pumped into the battery and a newly developed non-flow technology. The non-flow technology, which we expect to trial has the following properties:- 46 24 12 1 <2 2-25 26-3 31-35 36-4 41-45 >45 Speed Range (km/h) Figure 5 Final acceleration speeds from rest for meter reader vehicles 58 significantly increased lifetime over commercial lead acid batteries potentially higher energy density than commercial lead acid batteries higher internal impedance than lead acid ie. lower power density For a commuter EV, as already mentioned, the weight saving available for the same capacity battery will overcome the problems associated with the lower power density batteries. From this figure we can see that over 75% of vehicle accelerations are to a speed of 35km/h or less. This equates to 54.2kJ of energy required from the ultracapitors with each of the ultracapitors able to provide 3.52kJ. Twenty ultracapacitors was therefore chosen as the number to use being a good compromise between cost, capacity and voltage. 6. STAGE 1 DESIGN Stage 1 of the CEV project is trialing an innovative DC/DC converter. This converter serves as a bidirectional dc-dc converter, with Maxwell ultracapacitors connected to its lower-voltage side The second part of the Stage II Design involves using active variation of the air gap. This is only achievable currently in an axial flux motor such as that developed at the Northern Territory Centre for Energy Research. To achieve this a small stepper motor will be placed on the stator of the motor and when overspeed is required, >6km/h, the stepper motor will increase the air gap, thus reducing the flux density and hence reducing the motor s back EMF. 8. CONCLUSIONS

A commuter vehicle in which the maximum range is approximately 6km is easily achievable with a light, high efficiency electric vehicle. In order to achieve this economically, emphasis must be paid to keeping the weight to a minimum and drive train efficiency to a maximum. The Northern Territory Centre for Energy Research is achieving this through their innovative Brushless DC Axial Flux Permanent Magnet Motor in conjunction with firstly ultracapacitors and secondly through Zinc Bromide batteries. An innovative DC/DC converter is also being designed in order to achieve overspeed of the motor which will be compared with active flux variation using a small stepper motor. 9. ACKNOWLEDGEMENTS NTCER would like to thank the Northern Territory Power and Water Authority for their support with this project. 1. REFERENCES [1]. D. J. Patterson and R Spée The Design, and Development of an Axial Flux Permanent Magnet Brushless DC Motor for Wheel Drive in a Solar Powered Vehicle IEEE Trans. on Industry Applications, Vol 31, No. 5 September/October 1995, pp 154-161. [2]. David M. Roche, Antony E. T.Schinckel, John W.V.Storey, Clive P.Humphris, Michelle R. Guelden, Speed of Light The 1996 World Solar Challenge, 1997, pp 35-46 [3]. Xinxiang Yan, Dean Patterson and Byron Kennedy Employing a Multifunctional DC- DC Converter In an EV Drive System, 16 th Electric Vehicle Symposium, Beijing, China October 1999 [4]. B. Jonshagen, The Zinc Bromide Battery Advanced Energy Storage System, 1996 National Energy Conference, Darwin NT 21-24 th April 1996