How to Appraise Lithium Batteries for Electric Vehicles?

时间： 2022-03-29 来源：CHROMA

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Though many countries have successively announced the timeframe to stop selling fuel vehicles, the electric vehicles of today still have some technical indicators remaining for improvement. The indicators such as accurate estimation of mileage, improved power performance, shortened charging time, and extended battery life to reduce maintenance costs, etc. are all closely tied to the performance and reliability of lithium batteries.

Estimating the mileage of an electric vehicle needs to base on the Rated Capacity of the lithium battery to calculate the state of charge (SOC) information of the battery pack during driving. And the battery management system (BMS) will follow the SOC information to implement energy strategy management, such as PHEV will switch to the engine as the main power source when the SOC is low. Since the electric vehicle power implementation strategy also affects the driver's operating experience, in order to accurately control the peak power of the battery pack to prevent battery misuse, it is necessary to calculate the output pulse power capability and the temperature change of the battery pack through an accurate open circuit voltage (OCV), battery direct current internal resistance (DCIR) and SOC. Otherwise, it can also calculate the maximum charging power for fast charging management. A good battery management strategy can prolong the service life of a battery pack, which can only be formulated by evaluating the usable discharge capacitance, DCIR, and peak power at the same time during the battery cycle life test. At present, in addition to the evaluation standards defined by worldwide vehicle manufacturers, the International Electrotechnical Commission (IEC) has also defined the IEC 62660 standard for testing vehicle batteries to assist manufacturers in completing their appraisal on the batteries.

CHROMA 17010 battery reliability test system with the advantages of fast current response, high precision, high efficiency and long-term stability can help testers complete complex test plans rapidly. It has built in multiple protection mechanisms for experimental safety and is suitable for implementing related test standards.

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