1 Applications of solar energy to cars: perspectives and problems Gianfranco Rizzo DIMEC,, Italy SAENA - SAE NAPLES SECTION ONE DAY WORKSHOP Istituto Motori CNR, Naples November 8, 2010
2 The Background Solar Energy Summary PV Assisted Vehicles - Hybrid Solar Vehicles Research Issues Integration with Grid Conclusions
3 WHY SHOULD WE CHANGE OUR CARS?
4 Energy demand 4
5 Fossil Fuels 5
6 Environmental Risk 6
7 Climate Changes 7
8 Transport contribute to CO 2 8
9 From conferences to movies and cartoons
10 WHY SOLAR ENERGY?
11 Solar energy potentiality A pictorial view of the potentialities of photovoltaic: the areas defined by the dark disks could provide more than the world's total primary energy demand (assuming a conversion efficiency of 8%).
12 Solar Energy vs. Energy Consumption The solar energy striking the US in one day is almost equivalent to the energy consumption for one and a half year = +
13 WHAT ARE EFFICIENCY AND COSTS OF PHOTOVOLTAIC PANELS?
14 PV cell efficiency trends Best research results Efficiency of most commercial panels From Wikipedia, Courtesy of L.L. Kazmerski, NREL
15 Solar Panels Production and Prices The production of photovoltaic panels has remarkably increased since 90 s in terms of installed power. Their cost, after a continuous decrease and an inversion of the trend occurred in 2004, is decreasing again
16 Solar assisted vehicles: cost issues VS According to some recent studies, PV panels added to hybrid or electric cars could be even more cost effective than PV panels added to buildings. Neil C., Solar Hybrid Vehicles, 2006,
17 Payback time [Years] Payback time [Years] Payback of fixed and moving solar roofs for vehicles The payback of fixed (horizontal) and moving (ideal) roofs are compared, for two different latitudes (Los Angeles 33.9 and Minneapolis 44.9), using the insulation data provided by PVWatts (www.nrel.gov/rredc/pvwatts) PV Area (m2)=2 - Fuel cost ( /l)=0.8 LA - mobile roof LA - fixed horizontal roof MN - mobile roof MN - fixed horizontal roof Assumptions: PV panel efficiency η=18% Battery charging/discharging eff. = 0.9 PV area = 2 m 2 Fuel costs = 0.8 and 1.45 /l Roof cost: C=C 1 +C 2 *Area+C 3 C 1 =50 is a fixed cost for roof structure C 2 =300 /m 2 is the unit cost of PV panels C 3 =200 is the cost for the orienting mechanism The energy consumed for handling the solar roof has been neglected Mean efficiency of generation PV Area (m2)=2 - Fuel cost ( /l)=1.45 LA - mobile roof LA - fixed horizontal roof MN - mobile roof MN - fixed horizontal roof Mean efficiency of generation
18 WHAT ABOUT ENERGY DENSITY?
19 Energy density and fuel distribution Fossil fuel have high energy density. Moreover, there is a very efficient distribution network (in advanced countries). The higher energy density results in higher range of conventional vehicles with respect to other solutions (electric, solar, fuel-cell). The range of a today car is about 1000 Km. Number of fuel pumps in European countries (2005) Average density (Italy, France, Germany, UK)=0.04 pumps/km 2
20 Energy density: batteries vs liquid fuels Liquid fuels can deliver about 42 MJ per kg ( kwh/ton, kwh/m 3 )
21 Energy density: batteries vs liquid fuels kwh/ton % kwh/m3 % Liquid Fuel , ,00 Lead-Acid 30 0, ,32 Li-Ion 130 1, ,25 Considering that only 25% of fuel chemical energy can be converted in mechanical energy: kwh/ton % kwh/m3 % Liquid Fuel , ,00 Lead-Acid 30 1, ,29 Li-Ion 130 4, ,00 Further increases in energy density for Lithium-Ion batteries can be achieved by adopting innovative nano-composite materials (Magasinki et al., 2010).
22 About the range 1000 Km Almost 30 different countries and about fuel pumps in a radius of 1000 Km (with an average density of about 0,04 pumps per Km 2 ) Is a 1000 Km range really necessary for a car?
23 Energy Density GAP [/] How much should battery energy density increase? but considering a range of 400 km, and including also the powertrains in weight comparison, an increase by a factor 5 is needed Conventional vs Electric Vehicle Powertrain Weight not Included Powertrain Weight Included - EM Mean Power Powertrain Weight Included - EM Max Power To assure a range of 1200 km at the same weight of fuel tank, battery energy density should increase by a factor EV Range [km] Conventional Vs Electric Vehicle Reference conventional vehicle: Power=50 kw, Range=1200 km Fuel Tank (Diesel)=75 l, density = 0.85 kg/l, output energy density=2917 kwh/t Battery energy density = 130 kwh/t Conventional Powertrain = 2.25 kg/kw Electric Motor mean power) & Inverter = 1.6 kg/kw Electric Motor peak power) & Inverter = 0.94 kg/kw
24 WHY HYBRID SOLAR VEHICLES?
25 Solar Cars Various propotypes of solar cars have been developed since 70 s, mainly for racing and demonstrative purposes
26 World Solar Challenge 1987: Sunraycer, by GM solar cells with Gallium Arsenide, 20% efficiency. Power=1,5 kw, max speed=109 km/h, mean speed=67 km/h. WSC started in Km (1877 miles) from Darwin to Adelaide, in Australia : Nuna, University of Delft. 1996: Honda Dream. Mean speed=90 km/h, max speed=139 km/h, cell efficiency=23.5% Nuna I In 2007, Nuna IV, even reducing solar area from 8 to 6 sqm, wins with a mean speed of 100 km/h and max speed of about 160 km/h. Solar cell efficiency (triple junction gallium arsenide) approaches 30%. Nuna IV
27 Limits of Solar Cars Solar Cars do not represent realistic alternative to normal cars, due to: Limited power and performance. Limited range. Discontinuous energy source. High cost.
28 F.Porsche, 1900 G.Rizzo - Applications of solar energy to cars: perspectives and problems Hybrid Electric Vehicles Buick Skylark, 1974 Toyota Prius Ford Escape Honda Insight GM Precept Mercedes S400 Hybrid-Diesel Peugeot 308 Hybrid-Diesel
29 HEV and PV: a possible marriage?
30 Some HSV prototypes Viking 23 Western Washington University Tokyo University of Agriculture and Technology Ultra-Commuter The University of Queensland Solar Toyota Prius By Steve Lapp
31 Recent HSV Toyota Prius, with an aftermarket 215 W monocristalline solar module with peak power tracking and a 95% efficiency DC-DC Converter Astrolab Venturi Toyota Prius Solar Antro
32 A SOLAR PANEL ON A CAR: IT IS WORTH IT?
33 Is solar contribute significant? 1/4 Car PV Panel Ratio Power (kw) 70 0,3 0,004 PV panels power is about two order of magnitudes lower than engine power.
34 Is solar contribute significant? 2/4 Car PV Panel Ratio Power (kw) 70 0,3 Average Power (kw) 8 0,2 0,004 0,02 PV panels average power Speed [km/h] during daylight is comparable to its maximum power. 50 The average power of a car in urban driving is about one order of magnitude less than car maximum power Speed [km/h] 60 Power [KW] Time [s]
35 Is solar contribute significant? 3/4 Car PV Panel Ratio Power (kw) 70 0,3 0,004 Average Power (kw) 8 0,2 0,02 Time (h/day) A solar panel can receive solar energy many hours per day. Some recent studies of the UK government stated that: - about 71% of UK users reaches their office by car; - 46% of them have trips shorter than 20 min - mostly with only one person on board. (Source: Labour Force Survey,
36 Is solar contribute significant? 4/4 Power (kw) Average Power (kw) Time (h/day) Energy (kwh/day) Car PV Panel 0,3 0, Ratio 0,004 0, ,25 Considering the daily energy spent for driving during the prevailing urban use, it emerges that solar energy can give a substantial contribute.
37 SO, PUT A SOLAR PANEL ON A HYBRID ELECTRIC VEHICLE. IS THAT ALL?
38 HSV vs HEV HEV Conventional Car + Electric Motor Significant research has been necessary to develop Hybrid Electric Vehicles, even starting from mature technologies. HSV HEV + PV Similarly, a Hybrid Solar Vehicle is not the simple addition of a solar panel to an existing Hybrid Electric Vehicle.
39 HSV vs HEV PV panel control and power electronics Mission profile (HSV should be optimized for urban driving) Different SOC management strategies. Look-ahead requirements. Different structure (vehicle dimension, hybrid architecture)
40 PV panel control (MTTP) PV specific problems in automotive applications: Limited surface Maximum power extraction needed Mismatching effects due to: the need of connecting cells of different types within the same array (roof, windows, lateral sides); Irregular insulation due to panel curvature, clouds, shadows and car movement. Uniform conditions (single peak) Mismatching (multiple peaks) Conventional MPPT (Maximum Power Point Tracking) based on classical Perturb&Observe techniques tends to fail in presence of mismatching conditions. More advanced approach needed (Model Based Control). Use of multi-converters configurations, with soft-switching topologies and planar magnetic structures is advisable.
41 Sources of mismatching Different solar irradiation levels due to: Clouds Shadows Different orientation of parts of the PV field Dirtiness Tolerances (due to manufacturing and/or ageing) Different types of panels (different models, photo-glass, coloured) in the same string
42 HSV vs HEV control In most HEVs, a charge sustaining strategy is adopted: the battery State Of Charge (SOC) is unchanged within a driving path. SOC driving path Time A suitable strategy for HSV instead can restore the initial SOC within a whole day, considering battery charging during parking time. SOC Charge depletion driving path day Time ΔSOC parking
43 Vehicle Length Width Height HSV Prototype Piaggio Porter m m m Drive ratio 1:4.875 Electric Motor Continuous Power Peak Power Batteries Mass Capacity Photovoltaic Panels BRUSA MV V 9 KW 15 KW 16 6V Modules Pb-Gel 520 Kg 180 Ah Polycrystalline Surface 1.44 m 2 Weight 60 kg Efficiency 0.13 Electric Generator Diesel Yanmar S 6000 Power COP/LTP Specific fuel cons. Weight Overall weight (with driver) Weight 5.67/6.92 kva 272 g/kwh 120 kg 1950 kg A prototype of hybrid solar vehicle with series structure has been developed at the, within the EU Leonardo Program Energy Conversion Systems and Their Environmental Impact (www.dimec.unisa.it/leonardo)
44 HSV: Dissemination and Organization Participation to Ecotarga 2007, Sicily Web site in eigth languages, at the top positions on Google. Newsletter sent to about 6000 users. Two international Workshops on Hybrid and Solar Vehicles organized
45 Models Flow Chart CONTROL VARIABLES Control Strategy for EG MPPT for PV DESIGN SPECIFICATION Power demand Insolation HSV Structure Battery type DESIGN VARIABLES PV Panel Area and Position EG and EM Power Car dimensions Materials EXHOGENOUS VARIABLES Fuel Price Panel Efficiency Unit weight and costs MODELS Energy Flows for HSV/CV Car sizing - Weight - Cost OUTPUT Car Stability Fuel Savings Weight - Payback Objective Function and Constraints
46 PV Panels and Car Dimensions The maximum surface of horizontal and vertical panels have been expressed as function of length, width and height h w Horizontal A PV, H lw 0.30w 0. 05lw Vertical A 2l w h PV, V l Volume V lwh
47 Optimal design results # c f /kg c PV /m 2 /W P [/] A PV,H [m2 ] P EG [kw] PB [yrs] / / / / A very good payback (2.4 years) is by doubling fuel cost, reducing by 4 panel cost, and considering 16% panel efficiency Fuel Price in Italy 2.1 /KG, June 2008 Lowest Mono-crystalline Module Price $2.80/Wp ( 1.99/Wp) Lowest Multi- crystalline Module Price $2.48/Wp ( 1.76/Wp) Solarbuzz.com, July 2009
48 HSV: Optimal Management and Control Fuel Economy (km/l) on ECE Cycle - HSV vs. Toyota Prius A actual prototype B PV eff.=18% - Batt.=75 Ah C B+ 20% weight off Lithium-Ion Batt. Implementable Rule-Based Control: fuel economy very similar to benchmark, obtained by Genetic Algorithms Optimal management computed considering engine thermal effects on fuel consumption and HC (SI engine)
49 T [ C] ICE thermal transients Engine temperature dynamics is estimated by a first order dynamic model T t T T T e K ss in ss t Engine temperature 60 Steady state temperatures and time constants are assigned for ICE on and ICE off events ICE operation ON OFF T ss [ C] K [s] N = 1 N = Time [s]
50 dsoc dsoc G.Rizzo - Applications of solar energy to cars: perspectives and problems Rule-based (RB) approach to HSV on-board energy management External task Day time base S f Eq. (2) SOC f ON/OFF ICE strategy SOC up =SOC f +dsoc SOC lo =SOC f -dsoc Intermittency Ratio dsoc P tr Eq. (3-4) P EG Internal task Minutes time base SOC up SOC P [kw] SOC f Solar factor: S f E E sun, day sun, day SOC lo P EG P tr year-based average ICE-ON ICE-OFF Time [min] P sun
51 P batt [kw] P [kw] G.Rizzo - Applications of solar energy to cars: perspectives and problems Analysis of Rules Internal task At high P tr, P EG must have a load following behavior P rule EG 5 P EG,opt =21.5 kw average P tr average P [kw] tr At low P tr, P EG can be lower than most efficient value (P EG,opt ) to limit battery internal losses P EG =12.9 kw P EG =21.5 kw dsoc rule [/] t/t end [/] average University P [kw] of Salerno
52 km/l km/l km/l km/l Int. Task 28,00 G.Rizzo - Applications of solar energy to cars: perspectives and problems Impact of RB rules on Fuel Economy dsoc impact 27,00 Ext. Task SOC f impact 26,00 24,00 24,00 S f =1 22,00 20,00 21,00 18,00 CYC_1015_6PRIUS FUDS ECEEUDC FHDS dsoc_rule dsoc= ,00 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1 SOCf 28,00 26,00 P EG impact 33,00 30,00 27,00 S f =1.5 24,00 24,00 22,00 20,00 18,00 52 CYC_1015_6PRIUS FUDS ECEEUDC FHDS PEG_rule PEG_opt=21.5 kw 21,00 18,00 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1 SOCf CYC_1015_6PRIUS FUDS ECEEUDC FHDS
53 Cloud cover % Cloud cover % Cloud cover % Cloud cover % What s the weather like? Choice of optimal State Of Charge in HSV is controversial: SOC=0.6-07: reduced energy losses for charging and discharging and longer battery life SOC= : more energy can be accumulated during parking SOC=1 SOC=0 A possible solution: use of real-time weather forecast for estimating the optimal value of final SOC for driving cycle Session MC2, 17:40-18:05 Rizzo G., Sorrentino M. (2010), Introducing Sunshine Forecast to Improve On-Board Energy Management of Hybrid Solar Vehicles, IFAC Symposium Advances in Automotive Control, July , Munich, Germany Date of forecast:03-nov :47:14 03-Nov Nov Nov Nov Hour
54 IS A SOLAR VEHICLE CONVENIENT ONLY IN TROPICAL COUNTRIES?
55 Solar Calculator (PVWatts ) Anchorage (61.17 ) Chicago (41.78 ) Honolulu (21.33 ) San Antonio (29.53 ) Average Energy [KWh] for four different sites for a crystalline silicon PV system rated 1 KW AC at SRC, at different azimuth and tilt angles, has been computed, based on National Solar Radiation Data Base (NSRDB), considering real weather conditions.
56 Effects of Panel Position on Energy Negligible differences between 2- axis and 1-axis tracking systems. Almost a factor 2 between maximum and minimum latitudes. Average Yearly Energy (KWh/year) % axis tracking 1 axis tracking Tilt=Latitude Horizontal Vertical (mean) For fixed panels, there is not a relevant loss by adopting horizontal position with respect to optimal tilt, particularly at low latitudes % Energy absorbed with vertical position is significantly lower, mainly at low latitudes Latitude (deg)
57 Beyond the fixed horizontal roof Average net energy (kwh/day) 3,5 3 2,5 2 1,5 1 0,5 +91% +143% 2 m 2 tracking + 2 m 2 vertical 2 m 2 horizontal (fixed) + 2 m 2 vertical 2 m 2 horizontal (fixed) Latitude (deg) PV Efficiency 18% Data from PVWatts The adoption of tracking roof (for parking phases) and the use of windows and lateral surfaces greatly enhances net energy. The benefits are particularly significant at high latitudes, so enlarging the potential market of solar assisted vehicles.
58 Normalized energy (%) Study on a moving solar roof LOSANGELES - Lat Ideal 2 axis Moving roof Horizontal Month A moving solar roof for parking phases is in development at the. G Coraggio, C Pisanti, G Rizzo, A Senatore (2010) A Moving Solar Roof for a Hybrid Solar Vehicle In: 6th IFAC Symposium "Advances in Automotive Control", AAC10, July 11-14, 2010, Munich (Germany) Session MA2
59 Papers & Conferences on HSV USA: Monterey, 2007 UK: Loughborough, 2010 France: Paris, 2008, 2009 Mulhouse, 2010 Germany: Munich, 2010 Italy: Salerno, 2006 Salerno, 2007 Perugia, 2007 Capri, 2009 L Aquila, 2009 Palermo, 2007, 2010 Hungary: Budapest, 2009 China: Beijing, 2010 Turkey: Istanbul, 2005, 2006, 2007, 2008 Korea: Seoul, 2008 Japan: Kobe, 2008 Mishima, 2009 Taiwan: Taipei, 2006 Many papers presented at conferences and seminars. Further info available at
60 WHAT ABOUT CONNECTIONS WITH GRID?
61 BEV and PHEV Sales Forecast Courtesy of California Air Resources Board Grid connected vehicles (BEV & PHEV) are expected to grow significantly in next decades, based on the historical rate of Hybrid Electric Vehicle (HEV) growth. All Electric Range is expected to grow from 10 miles (2020) to 50 miles (2050). The cost for electricity to power PHEV for all-electric operation has been estimated at less than one quarter of the cost of gasoline. PHEV s have a battery capacity not less than 4 kwh.
62 Charging options 1. AC Level 1-120V AC charging from standard 15 or 20 amp NEMA outlet, on-board vehicle charger (~1.9kW) 2. AC Level AC charging up to 80 amps, on-board vehicle charger (~19kW) 3. DC Charging (Fast Charging)** Off-board charger connects directly to vehicle high voltage battery bus. Charger controlled by vehicle which allows for extremely high power transfer (>100kW) and thus faster recharge times (minutes instead of hours) ** Currently under development. Courtesy of AeroVironment
63 Energy Mix and PHEV Emissions CO 2 Emissions from PHEVs (gasoline + electricity) for different countries (generation mix). Conventional Vehicle The benefits of Plug-In Electric Vehicles with respect to the Conventional Vehicle in terms of CO2 critically depend on the generation mix. Increased emissions of NOx/SO2 could also result (coal based plants).
64 Plug-In Vehicles: local distribution The aspects related to local distribution must be considered too. Highly clustered PHEVs/EVs users in the same neighborhood could cause stress on transmission and distribution systems locally Power from Grid Neighborhood Transformer with Limited Capacity
65 PV assisted vehicles and grid Benefits related to PV panels for a grid connected vehicle: Reduction of recharging time and stress on local distribution network, two critical issues for Plug-In vehicles. Added value for Vehicle to Grid connections.
66 Vehicle to Grid (V2G) The power capacity of the automotive fleet is about 10 times greater than the electrical generating plants (in US) and is idle over the 95%. V2G concept: to connect parked electric driven vehicles (electric, hybrid, hybrid solar, fuel-cell) to the grid by a two-way computer controlled hook up. Advantages: Reduction of costs for peak power production. Toward the distributed generation, with reduction of Transmission and Distribution (T&D) costs. Facilitate integration of intermittent renewable resources. The value of the utility exceeds the costs for the two-way hook up and for the reduced vehicle battery life.
67 V2G: Recent News
68 V2G: Additional advantages for HSV Possibility to transfer renewable energy to the grid. Prevent from energy waste in case that battery is full.
69 Solar Roadways Coming? The idea: replacing asphalt and concrete surfaces with solar panels that could be driven upon. LEDs can be used to "paint" the road lines, and heating elements to prevent snow/ice accumulation. The top layer should be textured to provide traction features similar to current asphalt roads, even in the rain. Studies are in course to investigate ways to use mutual induction to charge EVs while they are driving down the Solar Roadway.
70 HOW COULD SOLAR ENERGY BE USED IN A CONVENTIONAL CAR?
71 Crisis effects World map showing the CIA estimate of GDP growth rates for 2009 (Wikipedia) Extensive fleet reconversion is unlikely in a short term scenario, due to world economic crisis. Most of current fleet is composed of conventional vehicles. A reasonable short term goal would be the reconversion of conventional vehicles to (Mild) Hybrid Solar Vehicles.
72 A proposal for Mild Solar Hybridization A mild parallel hybrid structure is obtained by substituting the rear wheels with in-wheel motors. In that way, the vehicle can operate in pure electric mode or in hybrid mode. The VMU implements control logics compatible with typical driving of conventional-car users, receives the data from OBD gate, from battery and drives inwheel motors. The battery can be recharged both by rear wheels, when operating in generation mode, and by photovoltaic panels. Patented by the The hybridizing equipment is installed on a conventional front-wheel drive car. The vehicle is also equipped with a OBD gate, which allows accessing vehicle data.
73 IN CONCLUSION?
74 Conclusions 1/2 PV assisted cars: ripe for passing from prototypical applications to commercial products. Integration more feasible, due to: increasing fleet electrification, increase in fuel costs, advances in PV panel technology, reduction in PV cost. Hybrid Solar Vehicles: a valuable solution to face energy saving and environmental issues. reduction of battery recharging time for PHEV, and best value for Vehicle to Grid applications. not a universal solution: best balance between benefits and costs for typical use in urban conditions during working days. In order to maximize their benefits, it would be required: re-design and optimization of the whole vehicle-powertrain system; advanced solutions for panel control (MPPT) and power electronics; specific solutions for energy management and control; more advanced look-ahead capabilities.
75 Conclusions 2/2 Adoption of moving roofs and use of solar panels on windows and lateral sides would enhance solar contribution, extending the potential market of these vehicles at higher latitudes. Integration with Grid (V2G) will enhance the potentialities of Hybrid Vehicles, particularly for PV assisted cars. Interesting opportunities related to reconversion of conventional vehicles to Mild Hybrid Solar Vehicles. The advantages of photovoltaic are additive respect to many other solutions. Full economic feasibility not immediate: financial support from governments appropriate. Encouraging perspectives about users willingness to spend some more money for a more sustainable mobility.
76 THANK YOU FOR YOUR KIND ATTENTION
77 ANY QUESTIONS?
78 EXTRA SLIDES
79 WHERE ARE YOU FROM?
80 Where we are Where we are 80
81 The eprolab is located at Faculty of Engineering of the. The Campus in Fisciano is one of the biggest in Italy, with 10 Faculties and almost students The origins of the University of Salerno date back to 1000 s, when the Schola Medica Salernitana was the first school of medicine in Western countries. 81
82 The surroundings Salerno by night The is located in the heart of Campania, a region of South Italy with many cultural, artistic and natural treasures. Picture Gallery from Campania
83 Automotive industry and research The is located in an area with a significant concentration of automotive plants and research centers. 83
85 Fiat SI engine 4 cyl liters Borghi & Saveri eddy currents dynamometer AVL Test Bench Automation System Puma Engine Test Bench dspace Microautobox for engine control prototyping dspace Simulator for HIL prototyping AVL Fuel flow meter ABB Air flow meter ETAS Lambda meter with Bosch UEGO sensors AVL indicating equipment for in-cylinder pressure ABB FID analyzer for HC emissions, NDIR analyzer for CO and CO2, Chemilum. analyzer for NOx Cambustion CLD 500 fast NOx analyzer SMPS system for nano-particulate matter
86 Hybrid Solar Vehicle: the prototype A prototype of Hybrid Solar Vehicle with series structure has been developed within the EU Leonardo Program Energy Conversion Systems and Their Environmental Impact (www.dimec.unisa.it/leonardo) and a PRIN Project (www.dimec.unisa.it/prin) Vehicle Length Width Height Piaggio Porter m m m Drive ratio 1:4.875 Electric Motor Continuous Power Peak Power Batteries Mass Capacity Photovoltaic Panels BRUSA MV V 9 KW 15 KW 16 6V Modules Pb-Gel 520 Kg 180 Ah Polycrystalline Surface 1.44 m 2 Weight 60 kg Efficiency 0.13 Electric Generator Diesel Yanmar S 6000 Power COP/LTP Specific fuel cons. Weight Overall weight (with driver) Weight 5.67/6.92 kva 272 g/kwh 120 kg 1950 kg
87 Fuel Cell Test Benches Nuvera 5 kw PowerFlow Module Studies on APU systems (Train, Ship, Series hybrid). Stationary energy production (In-house). Optimal management of grid connect/multi-source energy systems. Nuvera 5 kw automotive stack (1-4 bar) FC modeling. Auxiliaries modeling and control. Hybrid vehicle application. Custom PEM cell New Gas Diffusion Layer (GDL) and Membranes (DICA & DICHIM). Thermo-Fluid Dynamics analysis. Water management and modeling. 87 UNISA FC
88 Staff Ivan Arsie Assistant Professor Cesare Pianese Full Professor Gianfranco Rizzo Full Professor Secretary and Administrative Assistance Gina Scorziello Gianpaolo Noschese Technical Assistant Marco Sorrentino Research Assistant
89 PhD Students Ivan Criscuolo Gaetano Coraggio Cecilia Pisanti Silvana Di Iorio Raffaele Di Martino Angelo Esposito Dario Marra
90 Research Fields Automotive engines Alternative propulsion systems Fuel Cells Power Plants Energy Systems Modeling and optimization of bio-economics systems 90
91 Solar Energy km Nuclear fusion into the sun produces an enormous amount of energy, irradiated into the space. Solar energy is partly reflected to the space (15%), partly used to evaporate water (30%) and partly absorbed by plants, oceans and land, and for men use (55%). A very small part of the energy radiated by sun strikes the Earth (a part over two billions). 55% 15% 30%
92 10 HSV: Experimental Results Power [kw]; blue=b; green=em; red=eg [kw] (a) Acc. Pedal Position [/] (d) SOC [/] (b) 200 EM shaft torque [Nm] (e) Battery voltage [V] (c) 40 HSV speed [km/h] (f) Time [s] Time [s] Sets of experimental data for model validation and for prototype testing. 92
93 Energy management strategy In case of ICE intermittent use, energy management for HSV can be addressed via constrained optimization. min X m f, HSV X dt final initial Day through charge sustaining. SOC day SOC f SOC0 SOC p 0 estimated increment in next parking period SOC limits, for battery durability ( , lead acid battery). SOC SOC min SOC SOC max
94 Recharging time A critical aspect for electric and plug-in hybrid is recharging time. Integration of electric and plug-in hybrid vehicles with solar panels helps in reducing recharging time.
95 Well to Wheel H 2
96 Further details at Adinolfi G., Arsie I., Di Martino R., Giustiniani A., Petrone G., Rizzo G., Sorrentino M., (2008), A Prototype of Hybrid Solar Vehicle: Simulations and On-Board Measurements, Proc.of Advanced Vehicle Control Symposium AVEC 2008, October 6-9, 2008, Kobe (Japan) Society of Automotive Engineers of Japan - ISBN: Arsie I., Cacciato M., Consoli A., Petrone G., Rizzo G., Sorrentino M., Spagnuolo G., (2006), Hybrid Vehicles and Solar Energy: a Possible Marriage?, International Conference on Automotive Technologies ICAT 2006, November 17-18, 2006, Istanbul. Arsie I., Rizzo G., Sorrentino M. (2007), Optimal Design and Dynamic Simulation of a Hybrid Solar Vehicle, SAE TRANSACTIONS - Journal of Engines, Vol (2007), pp Arsie I., Rizzo G., Sorrentino M. (2008), A Model for the Optimal Design of a Hybrid Solar Vehicle, Review of Automotive Engineering, Society of Automotive Engineers of Japan (JSAE), 2008, ISSN : Preitl Z., Bauer P., Kulcsar B., Rizzo G., Bokor J. (2007) Control Solutions for Hybrid Solar Vehicle Fuel Consumption Minimization In: Proceedings of the 2007 IEEE Intelligent Vehicles Symposium, Istanbul, Turkey, June 13-15, Sorrentino M., Rizzo G., Arsie I. (2009), Analysis of a Rule-Based Control Strategy for On-Board Energy Management of Hybrid Solar Vehicles, ECosm'09 - IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling, Nov.30-Dec.2, 2009, IFP, Rueil-Malmaison, France I Arsie, G Rizzo, M Sorrentino (2010) Effects of Engine Thermal Transients on Energy Management of Series Hybrid Solar Vehicles Control Engineering Practice G Rizzo, M Sorrentino, I Arsie (2010) Rule-Based Optimization of Intermittent ICE Scheduling on a Hybrid Solar Vehicle SAE International Journal of Engines March G Rizzo (2010) Automotive Applications of Solar Energy In: 6th IFAC Symposium "Advances in Automotive Control", AAC10, July 11-14, 2010, Munich (Germany) Edited by:elsevier. G Coraggio, C Pisanti, G Rizzo, A Senatore (2010) A Moving Solar Roof for a Hybrid Solar Vehicle In: 6th IFAC Symposium "Advances in Automotive Control", AAC10, July 11-14, 2010, Munich (Germany) G Rizzo, M Sorrentino (2010) Introducing Sunshine Forecast to Improve On-Board Energy Management of Hybrid Solar Vehicles In: 6th IFAC Symposium "Advances in Automotive Control", AAC10, July 11-14, 2010, Munich (Germany) Most of them can be downloaded at
Model Based Control of a Moving Solar Roof for a Solar Vehicle G.Coraggio*, C.Pisanti*, G.Rizzo*, A.Senatore* *Dept. Of Mechanical Engineering, University of Salerno, 8484 Fisciano (SA), Italy Email: gcoraggio
ELECTRIFICATION OF VEHICLE DRIVE TRAIN THE DIVERSITY OF ENGINEERING CHALLENGES A3PS Conference, Vienna Dr. Frank Beste AVL List GmbH 1 Motivation for Powertrain Electrification Global Megatrends: Urbanization
Copyright 28, IFP ON THE USE OF GENETIC ALGORITHM TO OPTIMIZE THE ON- BOARD ENERGY MANAGEMENT OF A HYBRID SOLAR VEHICLE Ivan Arsie, Raffaele Di Martino, Gianfranco Rizzo, Marco Sorrentino* Department of
A Moving Solar Roof for a Hybrid Solar Vehicle G.Coraggio*, C.Pisanti*, G.Rizzo*, A.Senatore* *Dept. of Mechanical Engineering, University of Salerno, 884 Fisciano (SA), Italy Email: gcoraggio - cpisanti
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