Calculation of battery pack capacity for on-road electric vehicles under abnormal charging interference
Source abstract
Abstract
Accurately estimating battery capacity is highly important for extending battery life, optimising energy management, and ensuring the continuous operation of equipment. However, the real-world battery charging process is not as fully charged as in the laboratory under ideal conditions. Numerous unexpected situations pose a great challenge to the accurate estimation of battery capacity. By analysing real-world charging data from 20 on-road electric vehicles (EVs) spanning more than 2 years, six major categories encompassing 20 specific abnormal charging scenarios are identified. Some powerful measures, such as segmented estimation of interrupted charging, have been taken to address these abnormal charging situations. Then, an algorithm is designed to calculate the battery pack capacity for on-road EVs. This algorithm incorporates segmented estimation and reference capacity correction to reduce the volatility of capacity estimation. The test and comparison results show that our algorithm significantly reduces outliers in the estimation results, effectively overcoming the impact of abnormal charging on capacity estimation.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Battery Technologies Research · Electric Vehicles and Infrastructure · Advancements in Battery Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Tiangong University
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