Opportunities in ITS Technologies for Hybrid Electric Vehicles

Control and Intelligent Transportation Research Lab

Opportunities in ITS Technologies

for Hybrid Electric Vehicles

Prof. Umit Ozguner

The Ohio State UniversityDept. of Electrical and Computer Engineering

and Center for Automotive Research

CAR: Vehicle-to-Vehicle Communication Consortium

A review of two parallel developments:

1. ITS, specifically Vehicle-to-Vehicle (V2V) Communication issues

2. Hybrid Electric Vehicles (and more recently, Plug-In Hybrid Electric Vehicles)

RELEVANT ITS TECHNOLOGIES



Transmission using infrastructure(highway or in-city)

x k

m

Vehicle 1

Vehicle 2

● 　 Transmit incident information which occurred a long distance away.


Transmission using infrastructure(in city) Traffic light

broadcasting timing

Vehicle

Transmit red-green signal timing so that upcoming vehicle may slow down.

Transmit GPS correction signal. Transmit detailed map of intersection.


Vehicle 1

Vehicle 2

Vehicle 1

Vehicle 2

• Sending information regarding forward traffic jam.• Sending information to allow tight following

Traffic Jam

Inter-Vehicle Communication


An example from the US: The CICAS-V Program

RELEVANT CONTROL ISSUES



•Intersection issues: Stop-and-go traffic (cold start problems). “time to stop”, “time to accelerate”•In-traffic driving: We can generate true “look-ahead speed profiles” (not statistical drive cycles).•We can generate “look-ahead load profiles” based on road grade and other real-time estimates•For plug-in hybrid usage: we can estimate re-charge schedules and locations

What can we provide HEV’s?

Control Approaches• One approach to this problem

requires the use of the anticipated “effective load” on the vehicle. Our group and others have considered this and preliminary investigations have been reported on simple road-grade effects. Presently we are considering a more general issue of “look-ahead effective load variation” where grade is one (possibly, but not necessarily, dominant) factor.

• Many HEV control problems have been formulated as a receding horizon control problem. With an EECC, preview information of road profile and traffic flow information would be assumed to be available for a look-ahead time/distance as the horizon information. An optimal controller can be implemented to minimize fuel consumption by controlling the torque profile for the time horizon. As the car moves forward with preview information control is also updated


A TESTBED AT OHIO STATE UNIVERSITY



Introducing L-VIS: a VI Communication Testbed at OSU


Presently only one Base Station set up.


Microhard Spectra 910A900 MHz Modems

1 Watt, 902-928 MHz, Frequency Hopping with user defined hopping pattern

115,200 Baud over the air

Range up to 20 miles (line of sight)- significantly less at CAR due to low-lying terrain and surrounding buildings

Single Master (base station) and Multiple Slave (mobile) Units, repeater units are also possible

CRC error detection, forward error correction, encryption with 16 bit key


Dlink DWL-AG530 802.11a/b/g Wifi PCI Interface

Commercial Off the Shelf Interface Adapter

Support Windows XP and Linux

High speed network communication at either 2.4 GHz (802.11b/g) or 5.8 GHz (802.11a)

Stand-in for 802.11p or other short distance, high data rate, encrypted communications link

Drivers are open source and may provide significant access to network/MAC layer for customization and experimentation


Hardware Testbed: Vehicles• 1999 Honda Odessy Minivan

– Rack-mount CPU running Linux and Windows XP and front mounted touch screen display

– Roof mounted passenger display– OBD-2 vehicle data bus reader and brake,turn signal,

windshield wiper switch detectors– Forward and read laser rangefinders (SICK LMS-221)– Forward radar (Eaton-Vorad)– Differential GPS and fiber optic yaw sensor– Forward and rear cameras

• 2006 Highlander Hybrid SUV – Several rack mount CPUs running Linux and QNX– 360 degree surround sensing

• Ibeo AlascaXT and Sick LMS-221 (2)• MaCom SRS Radar Sensors (3)• Vision based lane tracking and forward obstacle detection

– Differential GPS and high-accuracy 6 DOF FOG IMU– CAN vehicle data bus reader

• 1999 Honda Odessy Minivan

– CPU running Linux and front mounted touch screen display– Roof mounted passenger display– OBD-2 vehicle data bus reader and brake, turn signal,

windshield wiper switch detectors• 1996 Chevrolet Tahoe

What about PHEV’s?• Communication needed to determine the

location of cars• Communication needed to plan based on the

“intent” of cars• Although data regarding payment may be

possible through special “plugs” (implying wired ground line connection), the wireless network connection to the car may provide wider possibilities especially with the two points above.


Conclusion

• We have only scratched the surface of possibilities!


Opportunities in ITS Technologies for Hybrid Electric Vehicles

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