How do you communicate state of health and state of charge to battery users and stakeholders?

Every battery degrades with use, and its capacity gradually diminishes. The State of Health (SOH) of a battery reflects its remaining useful life. At Hypr Energy we've designed our batteries with superior energy density and longevity, using specific charging and discharging rules to maintain optimal SOH. This is crucial in preventing failures that could cause critical service interruptions. The State of Charge (SOC) shows the current charge level relative to capacity. Our IoT-connected Hypr batteries are monitored every minute, enabling precise predictions for battery depletion and efficient swaps, minimizing downtime.

Building on that important point, I believe it’s crucial to emphasize how SOH and SOC not only serve as indicators of battery health and capacity but also as critical factors in optimizing battery performance and longevity. Understanding and accurately monitoring these metrics in the battery assembly industry can significantly impact the efficiency and safety of the battery systems we produce. For instance, by integrating advanced algorithms and real-time data analytics into our battery management systems, we can predict SOH and SOC with greater precision, allowing us to implement proactive measures that extend the lifespan of the batteries. This not only enhances the reliability of our products but also adds value for our customers.

I've witnessed the impact of SOH (State of Health) and SOC (State of Charge) on battery performance and longevity. SOH reflects the overall health and capacity degradation, while SOC indicates the current charge level. A high SOH translates to a longer lifespan and better performance, while overcharging or deep discharging can damage the battery. Monitoring these parameters helps engineers optimize battery performance, extend lifespan, and ensure safe operation.

Imagine if our bodies were like rechargeable batteries. Our 'State of Charge' (SoC) would be our energy level, fluctuating throughout the day as we charge up on coffee ? and deplete with work ??. Now, our 'State of Health' (SoH), that's a different story. That's like the maximum charge our bodies can hold, which unfortunately tends to decrease with age (and too many late-night pizza). Just like we monitor our health and energy levels, it's crucial for us to keep an eye on the SoC and SoH of batteries. After all, you wouldn't want your battery retiring before its time, just because it partied too hard in its youth, would you? Treat batteries like our bodies with regular check-ups and a good balance of work and rest.

?????? refers to the current charge level of a battery relative to its capacity. SOC is mainly displayed so that the user has an idea about the charge left in the battery. To ensure battery longevity it is recommended to operate batteries between 20% ???? 80% ?????? ?????????????????????? ??????????????: 1) Coulomb counting 2) Model Based Estimation 3) Voltage Measurement ?????? gives you the amount useful capacity battery has left (as compared to initial capacity). SOH is a clear indicator of battery health. SOH encompasses various aspects of battery health, including capacity fade, internal resistance, and overall efficiency. ?????? ???????????????????? ?????????????? 1) Impedance Spectroscopy 2) Capacity Testing #Battery #Ev

SOH is important because it gives you the amount useful capacity battery has left (as compared to initial capacity). SOH is a clear indicator of battery health. SOH is a crucial parameter when deciding the fate of battery application. For example : Batteries below SOH of 80% should ideally be removed from EVs and deployed to less demanding applications. SOC is a real time indicator of battery usage. SOC is used to communicate the user the amount of time the battery would last before it needs to be plugged in. SOC is also used to estimate range and hence is a vital parameter to communicate to the user.

That’s an excellent point. In our industry, understanding the distinct roles of SOH and SOC across different applications is vital. For electric vehicles, optimizing SOH ensures longer battery life and reliability, while effective SOC management influences driving range and energy efficiency. In grid storage and renewable energy systems, precise knowledge of these metrics enhances operational resilience. By tailoring our designs and strategies to these needs, we can deliver solutions that exceed customer expectations and drive innovation in the battery assembly industry.

SOH provides information on the battery's general health while the SOC indicates how much charge is still in the battery. It represents a comparison between the battery's present capacity and its initial capacity at purchase.

In the present Electrification in the Automobile Industry, the performance of the vehicle is linked SOH and SOC. The main criterion of cells to perform in any given situation is their charging and discharging ratings. If the cells are drawing more current, which means higher temp, as we know H=I*I*R*T. If this data has been shared and monitored on real time basis, the users will be able to understand SOH and SOC on regular basis with basic charging related awareness training sessions, how many times fast charging and slow charging to be done to maintain optimum WOH and SOC.

SOC is essential for the real-time management of battery operation, including charging and discharging processes. It helps in preventing overcharging and deep discharging, which can damage the battery and reduce its lifespan. Also, usually DCIR are tested when in 50% SOC, which is smallest value. SOH is crucial for understanding the aging process of the battery and predicting its remaining useful life.

One challenge of SOH and SOC communication is the accuracy and uncertainty of measurements. Since SOH and SOC are estimates based on variables like voltage or temperature, they rely on models that may have limitations or errors. These estimates can vary with different conditions, so it's important to communicate the confidence and range of these estimates, as well as the methods used. Another challenge is usability—different stakeholders may need the information presented in various formats, so it’s crucial to tailor communication to be clear, intuitive, and relevant to the audience.

Through my experience with lithium-ion batteries, . The intricate nature of lithium-ion batteries, the demand for accurate data, and the evolving battery technology landscape. Estimating SOH and SOC from indirect parameters like voltage, current, and temperature introduces inevitable inaccuracies. The accuracy of these estimates varies depending on the battery's condition and operating environment. Standardization of communication protocols is crucial for ensuring compatibility across diverse devices and systems. Real-time communication, often essential for applications like electric vehicles, demands high speed and efficiency. Minimizing latency is critical for timely data exchange and timely decision-making.

The main challenge of the industry is how to get better accuracy of SoH/SOC measurements/predictions? Even few percent improvement can add a month in operations, which means bigger savings for the owners/investors adding to more positive ratio on the profit&loss sheet. Actually, in recent years, accuracy of SoH & SOC & SOP, called SoX models has gone up a lot due to: (i) availability of chips (MCUs) with improved computing power that enable running more complex algorithms on embedded systems residing on the battery (ii) leveraging telemetry data collected from design to manufacturing and field operations, with ability to run the SoX ML prediction models in Cloud (iii) feedback loop between embedded & Cloud models driving corrections

The main challenge lies in translating complex data into actionable insights for non-technical stakeholders. SOH and SOC can fluctuate with temperature, usage, and charge cycles, making it difficult to offer a one-size-fits-all explanation. Consistent and clear communication is necessary to ensure that all stakeholders understand these metrics and make informed decisions about maintenance, replacement, and resource allocation.

Estimating SoC and SoH in batteries is challenging due to reliance on proxies like voltage, current, and temperature. Models, from simple to advanced, have inherent limitations—simple ones lack accuracy under dynamic conditions, while complex models are computationally heavy. Sensing hardware introduces errors due to resistance and heat dissipation, affecting precision. SoC is often non-linear, and SoH requires tracking multiple degradation mechanisms, complicating predictions. AI can improve accuracy by processing vast data, though generalization remains a challenge. SoH is often simplified to remaining cycles before reaching 80% capacity.

While there’s no one-size-fits-all approach to SOH and SOC communication, some key guidelines can make a big difference. By using multiple indicators—like numbers, symbols, colors, and texts—we can ensure that diverse users can easily interpret the information. Offering clear guidance on how to use this data can empower stakeholders to make informed decisions. Customizing communication to specific applications and user needs boosts engagement, and by testing our approach in real-world scenarios, we can refine and improve our strategies.

SOC and SOH are both important factors which user needs to know. In my opinion user would track the SOC % on daily basis since it gives the user idea about 1) Usable Range 2) Charging Frequency On the other SOH is a parameter which changes over a period of time and hence regular tracking would not be the primary requirement. Timely tracking of SOH is important because it gives user the impacts of their usage on battery health and hence, they can change the following patterns 1) Frequency of charging 2) Nature of charging: Standard vs Fast For communication a combination of Text, logo and color works best For ex: A battery logo with yellow color fluid and % of SOC under clearly suggests user to consider charging the vehicle #ev

To control the charging process, important metrics including battery voltage, current, temperature, State of Charge (SOC), and State of Health (SoH) are transmitted to the charging system. Based on information from the BMS, the charging system modifies the charging voltage and current. For instance, the charger might use faster charging (higher voltage and current) when the battery's SOC is low, but as the SOC approaches 100%, it might use Constant Current Constant Voltage (CC-CV) charging, which gradually reduces the current to avoid overcharging. . BMS transmits the battery's SoH to the charging system, enabling it to modify its approach for worn-out or deteriorated batteries

Best practice is first of all to be clear under which operating and environmental condition and for which application/use case, are your indicated values of SoH & SOC actually applicable for. Than have these numbers available as key metrics of the battery fleet with worst performers (lowest SoH & SOC) clearly highlighted on the top with warning signs and red colors & most importantly recommendation on what action to take and potential reason/root cause for the low performing numbers. It is also great when a bit proactivity is possible, meaning set a warning signals if certain battery has a potential of becoming very low on charge or on health so that the owner/user can plan preventive actions/maintenance/service.

Use coulomb counting, impedance spectroscopy, or model-based estimation techniques for accurate SOH data. Latency can become a bottleneck. Depends on how the unit is set-up Measurement techniques are probably the most important because engineers tend to ask questions around the data being communicated. This is why we use voltage-based, current integration, or Kalman filtering to mitigate individual method limitations like voltage estimation errors under load.