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Hitachi High-Tech has developed a method of Diagnostics of Battery Degradation that evaluates the performance degradation and remaining life of lithium-ion batteries during or after use. By introducing the evaluation method into each process of the production, use, and recycling of lithium-ion batteries for electric vehicles, it can be used as a new data management platform for functions including the “monitoring of individual battery usage status,” the “clarification of remaining performance evaluation at the reuse/recycling phases,” and “visualization of supply-and-demand balance and market value forecasts for battery reuse/refurbish.
Using the Diagnostics Method of Battery Degradation, the residual value and remaining life of batteries can be obtained at each stage of the circular economy. We offer the best solution for each of the various business operators from battery manufacturers to recyclers.
A circular economy links the effective use of resources to economic growth. Every company is currently required to shift towards a sustainable business model. The same is true for lithium-ion batteries, which are essential for the power source of electric vehicles. In addition to promoting recycling as resource circulation, promoting the reuse and remanufacturing of used lithium-ion batteries and prolonging their life without immediately disposing of them are new challenges to realizing a circular economy.
It is important to clarify the residual value by precisely evaluating the battery's performance degradation status at the reuse/recycling phases. It is possible to manage the remaining life of a large number of used batteries by introducing this method to diagnose battery degradation. In addition, incorporating this method into the battery’s refurbishing factory line enables semi-automated or automated work to grade the residual performance of batteries, and it is expected that the efficiency in the reuse and remanufacturing of lithium-ion batteries will be further improved.
You can identify the residual value of a battery in advance for each ID after it has been used by monitoring the historical data of the usage status of the individual battery in use in the electric vehicle from the primary usage stage. It is also expected it can be used as a battery's entire lifetime data management platform, to enable visualization of the supply-and-demand balance and market value forecasts at the secondary and tertiary reuse stages of batteries.
The method to diagnose battery degradation can analyze and visualize the performance degradation and remaining life of lithium-ion batteries.
You can rapidly identify data such as SOH (State of Health), which is the primary index of performance degradation, from transient response measurement after DC current interruption of lithium-ion batteries. Compared to conventional methods with which took up to 2 to 4 hours to evaluate, it takes from only a few seconds up to 2 minutes to evaluate batteries using this method.
Can be applied to various operation equipment by analyzing batteries using an optimized algorithm to complement every characteristic of the equipment. Can easily build a measurement system by utilizing equipment that has already been installed.
Analyzing OBD2 data (On board diagnostics second generation) sent from an EV enables the diagnostics and management of SOH. Since the data is transmitted via a T-BOX (Telematics box) attached to the EV, you do not need to install a new sensor or the like.
An algorithm based on the laws of physics enables calculating correct estimate SOH values. Not only the diagnostics of each pack but also those of each cell are possible, which enables identifying estimate SOH values after rebalancing and handling appropriate response according to the remaining value of each cell for secondary use.
Measurement data from the various operation equipment is analyzed in the cloud and analysis results are displayed on the customer’s dedicated analytics dashboard in real time. In addition, the analysis results are stored in the customer’s database
This method can be used in various scenes in each of the process from production to reuse of lithium-ion batteries including pre-shipping inspection, monitoring of individual battery usage status, regular maintenance, and the clarification of remaining performance evaluation at the reuse/recycling phases. Incorporating algorithms of this method into a battery management system enables calculating more precise diagnostic values.
EV ＆ Equipment OEM
Introducing the method into the pre-shipping inspection process of new batteries contributes to increase the throughput of 100% inspection.
Incorporating the algorithms of the Rapid Diagnostics of Battery Degradation into a battery management system (BMS) enables On-BMS installation without past historical data.
Introducing the method into the Acceptance/Pre-installation inspection process of new batteries contributes to increase the throughput of 100% inspection.
You can diagnose the degradation status and the sign of abnormal deterioration of a battery in a short time without taking out it from the vehicle.
The method enables appropriate charging control according to the degradation status of a battery which reduces the burden to the battery in charging and contributes to a long product life.
The method enables high-speed and high-precision diagnosis of various EV batteries, which contributes to proper battery management.
Daily remote diagnostics
Receiving data from an EV at work enables daily diagnostics of battery degradation without removing the battery from the vehicle.
Multiple vehicles controlled by a customer can be managed centrally and effectively.
The method enables remote diagnosis of an energy storage system (ESS) without stopping the system. It detects abnormal deterioration of a battery to prevent troubles.
Introducing the method into the 2nd hand battery acceptance inspection process reduces the risk of purchasing defective batteries.
Introducing the method to a used car assessment process enables diagnosis of the residual value of a lithium-ion battery in a short time and contributes to the proper pricing of used cars.
Introducing the method into the grading process enables instant high-precision sorting, which largely reduces time required for diagnosis.
Introducing the method into the pre-shipping inspection process of regenerated batteries contributes to increase the throughput of 100% inspection.