Jan
24
The Four Motor Electric Car Experiment
January 24, 2013 | 1 Comment
Junmin Wang, assistant professor of mechanical engineering and Director of the Vehicle Systems and Control Laboratory at Ohio State leads a team of bachelor’s, master’s, and doctoral students as well as a few local high school students to make a whole traction and motion control system energy-efficient and fault-tolerant, so if one wheel, motor or brake malfunctions, the others can compensate for it and maintain safety.
Four Motor Electric Car Development at Ohio State. Click image for the largest view.
Wang explains, “Without the controller, it’s very hard to drive. With the controller, it’s quite nice – quiet, and better control than commercial four-wheel drive.” Wang has tried it. A driver who is accustomed to conventional cars would have a difficult time driving a car of this experimental design, known as a “four-wheel independently actuated” (FIWA) car without the help of the vehicle motion and traction control system. With its ability to turn sharply and change direction very quickly, the car could be hard to control.
So, one hundred times a second, the team’s onboard computer samples input data from the steering wheel, gas pedal and brake and calculates how each wheel should respond. Because the wheels are independent, one or more can brake while the others accelerate, providing enhanced traction and motion control.
Weighing in at half as much as a sports car and turning on a dime its no surprise that the electric car being developed at Ohio State University needs an exceptional traction and motion control system to keep it on the road. With four wheels that turn independently, each with its own built-in electric motor and set of batteries, the experimental car is the only one of its kind outside of commercial carmakers’ laboratories.
Wang said, “It is considered one of the promising future vehicle architectures. It would make a good in-city car – efficient and maneuverable, with no emissions. Our task is to make a robust control system to keep it safe and reliable.”
In tests on good road conditions at the Transportation Research Center in East Liberty, Ohio, the car followed a driver’s desired path within four inches (10 cm). To test slippery road conditions, the researchers took the car to an empty west campus parking lot on a snowy day. There, the car maneuvered with an accuracy of up to eight inches (20 cm), and the vehicle traction and motion control system prevented “fishtailing” through independent control of the left and right sides of the car.
Wang characterized these results as more accurate than a conventional car, though the comparison is hard to make, given that conventional cars are much more limited in maneuverability by the transmission and differential systems that link the wheels together mechanically. The four independent wheels of the electric car give drivers greater control and more freedom of movement.
The researchers took a commercially available sport utility vehicle chassis and removed the engine, transmission, and differential, replacing them with a 7.5 kW electric motor to each wheel each with a 15 kW lithium-ion battery pack. A single electrical cable connects the motors to a central computer. The experimental car weighs about half as much as a conventional car – only 800 kg, or a little over 1,750 pounds.
Wang estimates that we won’t see a FIWA car on the road for another 5-10 years, as researchers continue to develop new algorithms to control the car more efficiently and add more safety features.
Future work will concern the FIWA car’s energy efficiency for increasing its travel range in urban environments, and optimizing the weight distribution in the car.
The coauthor on the paper was Rongrong Wang, a doctoral student in mechanical engineering, and the team’s high school participants came from the Columbus Metro School, a state of Ohio public STEM (science, technology, engineering, math) high school open to students from around the state.
The whole project looks like a blast of fun as well as experimental. Which leads one to surmise that the forthcoming algorithms will go far to increasing the possible performance and handling behaviors.
Some practical projects offer some very interesting optional choices into the future!
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You really make it seem so easy with your presentation but I find this topic to be actually something
which I think I would never understand. It seems too complex and very broad for me.
I am looking forward for your next post, I’ll try to get the hang of it!