Stanford researchers are looking to build a better battery management system based on real world experience.
“Deploying battery state of health estimation and forecasting algorithms are critical for ensuring the reliable performance of battery electric vehicles. SoH algorithms are designed and trained from data collected in the laboratory upon cycling cells under predefined loads and temperatures.
today routinely records data during braking, acceleration, deceleration, and charging. The secret to long life for rechargeable batteries may lie in understanding the differences between individual cells in real world operation. New modeling of how lithium-ion cells in a pack degrade shows a way to tailor charging to each cell’s capacity so EV batteries can handle more charge cycles and a longer service life.
“Energy gives you the range, or how many miles you can drive with a fully charged battery,” Pozzato says. “Power is the ability to extract energy quickly. When you accelerate, you want to get access to energy and discharge the battery very fast. The less electrical resistance you have in the battery, the more power you have.”
“Higher temperatures raise battery capacity, so you have this feeling that the car has more energy and that you can drive more miles,” Onori said. “But if you keep using the battery at high temperatures, it will degrade faster. Those are very tricky factors that affect performance. Next year we’ll expand our dataset to a fleet of vehicles to determine exactly how temperature and aging affect each other.
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