Abstract
To cope with the new transportation challenges and to ensure the safety and durability of electric vehicles and hybrid electric vehicles, high performance and reliable battery health management systems are required. The Battery State of Health (SOH) provides critical information about its performances, its lifetime and allows a better energy management in hybrid systems. Several research studies have provided different methods that estimate the battery SOH. Yet, not all these methods meet the requirement of automotive real-time applications. The real time estimation of battery SOH is important regarding battery fault diagnosis. Moreover, being able to estimate the SOH in real time ensure an accurate State of Charge and State of Power estimation for the battery, which are critical states in hybrid applications. This study provides a review of the main battery SOH estimation methods, enlightening their main advantages and pointing out their limitations in terms of real time automotive compatibility and especially hybrid electric applications. Experimental validation of an online and on-board suited SOH estimation method using model-based adaptive filtering is conducted to demonstrate its real-time feasibility and accuracy.
Highlights
IntroductionResource depletion, greenhouse gases, it is obvious that the environmental situation of the planet has reached a critical stage
With climate change, resource depletion, greenhouse gases, it is obvious that the environmental situation of the planet has reached a critical stage
These Incremental Capacity Analysis (ICA) and Differential Voltage Analysis (DVA) methods are time consuming since their curves are obtained under low current (C/20 for instance)
Summary
Resource depletion, greenhouse gases, it is obvious that the environmental situation of the planet has reached a critical stage. Battery technologies have seen a consequent development, especially with Lithium Ion Batteries (LIB) [1]. Since their emergence in the early 19900 s, the LIB cell represents the most promising and fastest growing battery technology in both low and high-power applications. A high specific energy (150–280 Wh·g−1 ) [2] combined with a high specific power (200–300 W·kg−1 ) makes this technology the most attractive one for electrified powertrains. BCC Research reports that the LIB market is expected to reach USD 47.4 billion in 2023 with 15.8% annual growth [3].
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