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Fixed or Swappable Battery? How to Choose the Right Architecture

When an electric machine cannot complete its required duty cycle on one charge, an OEM has several options: fit a bigger battery, introduce opportunity charging, or design the machine around swappable batteries.

The right choice depends on more than battery capacity alone. Weight, packaging, charging infrastructure, downtime and the customer’s operating model all influence which architecture makes the most sense. Here the lowest-cost battery is not necessarily the solution that delivers the lowest total cost of operation for the end customer.

This article looks at the main factors OEMs should evaluate when choosing between a larger fixed battery and a swappable architecture, and when each approach makes technical and commercial sense. 

How much energy is really needed?

When the design requirement is for the machine to complete a full shift without intermediate charging, the fixed battery needs to cover the most demanding expected duty cycle, including appropriate margins for temperature and battery ageing. For the OEM, that means allocating extra weight and volume to battery capacity, that will only be used during the most demanding operating conditions.

Weight matters more on compact/semi-compact machines than it does on a car. On a compact loader, mower or excavator, every kilogram of battery is a kilogram that reduces the weight available for payload, equipment or other machine functions. It can push the product into a different ergonomic or regulatory class altogether. 

A swappable architecture gives the OEM another option: only the required energy for the next operating period is on the machine and store additional capacity off-board in a charging station.

What charging infrastructure will your customer need?

This is where the two architectures really separate. With a fixed pack, the charger has to be sized to the machine’s daily energy divided by the length of a break. With swappable packs, it is sized to the daily energy divided by the length of the night.

Consider a site with six compact machines, each consuming around 10 kWh over a working day. If those machines carry fixed batteries and have to be topped up during a 45 minute break, each one needs roughly 13 kW. If they all break at the same time, which they will, the site has to be able to deliver around 80 kW. On top of that come six chargers and the cabling to reach wherever each machine happens to be standing.

Now put the same 60 kWh through swappable modules, charged overnight on site. Spread over twelve hours, that is an average of 5 kW. Spreading the same energy requirement over twelve hours reduces the average charging demand to around 5 kW, dramatically reducing the peak power required from the site and the machines need no on-board charging hardware at all.

For an OEM this matters, because charging infrastructure can become part of the customer’s purchasing decision. A machine that can be deployed without significant electrical infrastructure upgrades may be easier to introduce across existing sites.

Depending on the site, lower peak charging demand can avoid or reduce the need for grid upgrades, additional cabling or high-power chargers. This can be particularly relevant for temporary worksites or locations where electrical capacity is limited.   

The same decoupling has a second effect. Energy charged overnight is charged at night-time tariffs, which implies the charging at a low, steady and battery-friendly rate. Longer charging windows also allow lower charging rates, reducing the need for repeated high-rate opportunity charging. Slow charging under moderate temperature conditions is generally more favourable for lithium-ion cells, removing the compromises in battery life, that can come with repeated fast charging.

Downtime is the number that actually moves the TCO

Nobody solves a longer operating time for a diesel machine with a bigger fuel tank. They kept a jerrycan, to avoid a machine stadstill. The same principle is useful when defining an electric machine: additional runtime does not necessarily have to come from carrying more energy on the machine. Electrification does not change that consideration. An easy to operate, blind-mating, battery module can be exchanged quickly, single-handedly, No tools are needed and the machine does not leave the spot.

A fixed battery pack suitable for fast charging still requires the machine to travel to the charger, stay there, and travel back. Suppose that is 45 minutes a day. Over 220 working days that is ca. 165 hours, or the better part of twenty shifts a year, per machine.


Whatever the internal hourly rate is for a machine and operator, multiplying it by twenty shifts and comparing the result with the price of two spare modules and a charging station is a useful exercise. Depending on the hourly cost of the machine and operator, avoided downtime can become one of the largest contributors to the TCO comparison.

Could one battery platform serve several machines in your portfolio?

For an OEM developing several electrified machines, standardizing around a common battery platform can reduce the number of battery variants, charging systems, interfaces and service procedures that need to be managed. Where different machines are designed around the same battery and docking interface, the customer’s battery inventory can also be shared across compatible equipment.

A fixed pack is idle whenever its machine is idle, which on a mixed fleet is most of the time. A standardized swappable module is not. The same 48V module can move between a compactor in the morning, a light tower in the evening and a mini-excavator the following week.

That has three consequences worth putting into a business case:

  • The fleet of battery packs can be smaller than the machine fleet,
    because the battery packs follow the work rather than the asset
  • One set spares, chargers, training & service procedures instead of one set machine type
  • When a machine reaches the end of its life, the battery packs do not go with it, but they carry their remaining value to the next machine

Interchangeability requires the battery pack, docking interface, charging system and machine integration to be considered together from the beginning of development.

When is a bigger fixed pack still the better choice?

Battery swapping is not the answer to everything. There are clear cases in which a single larger fixed pack is both the better engineering and the better economics:

Many characteristics found in construction and agricultural equipment are particularly suitable for battery swapping.

Once an OEM has established that a swappable architecture fits the application, the next question is how to implement it without developing a new bespoke battery ecosystem. Cleantron’s modular battery platforms are designed to address this integration challenge.

How Cleantron supports a modular battery architecture 

All Cleantron swappable modules are 48 V and support Multi Pack Configuration (MPC), the masterless parallel architecture that allows up to sixteen modules to work together.

For OEMs that are still defining the machine’s duty cycle or evaluating fixed versus modular battery concepts, P4P provides flexibility because the same battery platform can support both approaches.

 The CLP, weighing only 9 kg, is designed for applications where compact dimensions, low module weight and quick manual exchange are important. Its blind-mating interface, machine docking station and charging solution allow the battery to be considered as a complete integration system rather than an isolated pack.

 For OEMs developing machines for construction, agriculture and other demanding outdoor environments, CLP XL extends the swappable architecture to applications where dust, dirt and humidity place greater demands on the battery system. It comes with an on-board docking station for integration into the construction or agricultural machine and an off-board charging station. At 13,5 kg, it allows single-handed exchange in a professional environment and it is available in three variants:

  • The standard CLP XL,
  • The higher-capacity CLP XLe, suitable for applications where longer runtime is the priority
  • The high-current CLP XLp for machines with higher peak-power requirements

Cleantron’s MPC Battery Management is what makes the architecture scale. A machine that needs more capacity takes more of the same battery packs, rather than a different battery. Combined with the adaptive charging algorithms, which sets the charging current and the end-of-charge voltage based on the measured temperature, State of Charge and State of Health of the pack, the battery packs are charging quietly overnight aging more slowly compared to repeated opportunity charging.

Conclusion

The question worth asking is not how big the battery should be, but where the energy is needed.

For an OEM, the right battery architecture is the one that combines the machine’s technical requirements with the way customers will actually use, charge and maintain it.

Where a fixed battery pack is sized for the worst day of the year, a swappable battery system gives just enough on the machine to get through.

Wherever the cost of swappable battery packs is lower than the cost of the fixed battery, a heavier machine, a heavier grid connection and the hours lost standing at a charger, the swappable battery pack is not only the more flexible choice; it is also the cheaper one.

Fixed or swappable for your application?

If you are defining the battery architecture of your new electric machine, then share your required runtime, duty cycle, available charging window and power requirements with our engineering team.

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Battery Safety & Standards Blog Technology

Accurate State of Charge (SoC) in Lithium-ion Batteries: Challenges, Validation, OEM Benefits

Accurate State of Charge (SoC) estimation is the foundation to performance, safety, and longevity of lithium-ion battery systems. SoC is not a directly measurable quantity. It is derived from voltage, current, temperature, and time using model-based algorithms. In practical terms, SoC determines how much usable energy remains, when to limit power and when to initiate protective actions.

For OEMs and end-users, inaccurate SoC translates into tangible risk: unexpected shutdowns, conservative derating that reduces available power, accelerated degradation due to suboptimal charging strategies, and suboptimal thermal management. In electrified platforms, whether construction machinery, light mobility applications, or industrial batteries, SoC directly influences range indication, peak power delivery, and risk of misuse. Robust SoC estimation is therefore not merely a software feature, but a system-level requirement for reliability, safety compliance, and commercial viability.

Why extreme conditions are difficult

Extreme operating conditions expose the limitations of simplistic estimation strategies. At low temperatures, internal resistance increases, diffusion dynamics slow, and open-circuit voltage curves flatten, reducing observability and amplifying estimation error. At high temperatures, side reactions and nonlinear degradation effects alter cell characteristics in ways that static models fail to capture.

Additionally, real-world duty cycles introduce highly dynamic current profiles. Rapid transients, regenerative pulses, and high C-rate discharges cause voltage polarization and hysteresis effects that distort the apparent Accurate State of Charge. Depth of Discharge (DoD) further complicates matters: partial cycling behaves differently from full cycling, and aging mechanisms vary depending on the operating window.

These nonlinear, temperature-dependent, and cycle-dependent phenomena make SoC estimation fundamentally a challenge. Algorithms must remain stable and accurate across the entire operational envelope, not only under nominal laboratory conditions.

Importance of validation and how Cleantron does it

Because SoC cannot be measured directly, validation must rely on experimental characterization. Cleantron has performed extensive fine-tuning of its battery models through comprehensive validation campaigns across the full temperature spectrum. Testing was conducted at both low and high temperature extremes to capture resistance shifts, capacity variation, and kinetic effects that influence estimation performance.

Beyond temperature, validation covered diverse cycling strategies. Realife drive cycles were used to emulate practical application loads, including dynamic current profiles representative of end-use environments. In parallel, controlled artificial cycles were applied to isolate specific electrochemical behaviors and stress conditions. Furthermore, multiple DoD windows were used across these tests to ensure accuracy across partial and full cycling regimes.

This multi-dimensional dataset enabled iterative refinement of model parameters, observer tuning, and validation against ground-truth capacity measurements. The result is a SoC estimation framework that remains stable, accurate, and robust under thermal stress, high dynamics, and long-term cycling.

Practical takeaway for OEMs

For OEMs integrating Cleantron battery systems, validated Accurate State of Charge estimation translates directly into predictable performance and reduced integration risk. You gain reliable range prediction, stable power availability across temperature extremes, and minimized risk of unexpected shutdown or accelerated degradation.

Because our models have been tuned and validated across realistic and worst-case scenarios, system behavior in the field closely matches engineering expectations. This reduces calibration effort, shortens development timelines, and improves confidence during certification and customer deployment.

To sum up, rigorous SoC validation is what converts a battery pack from a component into a dependable energy system. And best of all, it is already embedded in Cleantron’s BMS platform!

Why Cleantron for EV batteries?

Cleantron is an European leader in advanced lithium-ion batteries. We provide made in The Netherlands advanced batteries for light electric vehicles and other market sectors, like agricultural and industrial applications and solutions. Our products are built on captive BMS technology and the commitment to a long-term reliability. Whether you’re developing LEVs or micro cars, our battery technology gives you the flexibility and reliability to scale successfully.

We provide a full range of modular batteries, including low voltage and high voltage solutions. 

Alongside our standard batteries, Cleantron’s core business is to develop tailored battery modules for OEM customers

Contact us to see how Cleantron can help power your next product.

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Battery Safety & Standards Blog Technology

Why a Battery Management System is Essential for Modern Energy Applications?

As battery-powered systems continue to evolve in complexity and scale, the importance of intelligent control mechanisms becomes increasingly evident.

A Battery Management System (BMS) is essential for ensuring that batteries operate safely, efficiently, and reliably across a wide range of applications, from electric vehicles to industrial machinery.

Without a BMS, even the most advanced battery cells are susceptible to misuse, premature ageing, and failure. For technical professionals working with battery-integrated systems, understanding the role and capabilities of a BMS is key to unlocking performance and longevity.

 

Safety Monitoring: The Foundation of BMS

The first and most fundamental function of a BMS is safety monitoring. This involves real-time tracking of voltage, temperature, and current across individual cells and the entire pack. Voltage must be kept within strict boundaries to prevent overcharging or deep discharging, both of which can lead to degradation or hazardous conditions. Temperature monitoring ensures the battery remains within its safe operating range, avoiding thermal runaway or accelerated wear. Current sensing protects against excessive loads or charging rates that could damage the cells. Together, these safeguards form the foundation of a robust and secure battery system.

Battery State Estimation: Unlocking Performance Insights

A second critical function is battery state estimation, which provides insight into the battery’s internal condition—data that cannot be directly measured. This includes estimating the State of Charge (SoC), State of Health (SoH), and State of Power (SoP). Accurate estimation enables better energy management, predictive maintenance, and system optimization. For example, SoC informs range predictions and charging strategies, while SoH helps assess remaining useful life and plan replacements. These estimations rely on advanced algorithms that interpret sensor data, historical usage, and electrochemical models to deliver actionable insights.

Cell Balancing: Ensuring Longevity and Consistency

The third key functionality is cell balancing, which ensures uniform charge distribution across all cells in a pack. Over time, cells can drift apart due to manufacturing differences and usage patterns, leading to reduced capacity and increased stress on weaker cells. The BMS uses passive or active balancing techniques to equalize voltages, extending battery life and maintaining performance. This is especially important in high-demand applications where consistency and reliability are paramount.

The Cleantron BMS exemplifies advanced battery management with features tailored for demanding applications. It offers highly accurate state of charge and state of health estimation, enabling precise energy control and lifecycle planning. Its temperature-controlled charging ensures optimal thermal conditions during charge cycles, reducing ageing and enhancing safety. Additionally, Cleantron’s innovative Multi Pack Configuration (MPC) allows multiple BMS units to operate in masterless parallel configurations, simplifying system architecture and improving scalability. These capabilities make the Cleantron BMS a powerful solution for modern battery systems that require flexibility, intelligence, and reliability.

In conclusion, the Battery Management System is a critical enabler of safe, efficient, and long-lasting battery operation. As battery applications grow in scale and complexity, the BMS becomes increasingly central—not just as a protective layer, but as a sophisticated control unit that optimizes performance and extends battery life. By managing safety parameters, estimating internal states, and maintaining cell balance, the BMS ensures that battery systems can meet the high expectations of modern energy applications.

The Cleantron’s Battery Management System Advantage

The Cleantron BMS stands out in this landscape by combining robust safety features with advanced control capabilities. Its precise state of charge and health estimation, intelligent temperature-controlled charging, and innovative Multi Pack Configuration (MPC) architecture offer a flexible and scalable solution for demanding applications. Whether deployed in a single pack or across a distributed system, the Cleantron BMS provides the intelligence and reliability needed to support the next generation of battery-powered technologies.

In conclusion, the Battery Management System is a critical enabler of safe, efficient, and long-lasting battery operation. As battery applications grow in scale and complexity, the BMS becomes increasingly central—not just as a protective layer, but as a sophisticated control unit that optimizes performance and extends battery life. By managing safety parameters, estimating internal states, and maintaining cell balance, the BMS ensures that battery systems can meet the high expectations of modern energy applications.

The Cleantron BMS stands out in this landscape by combining robust safety features with advanced control capabilities. Its precise state of charge and health estimation, intelligent temperature-controlled charging, and innovative Multi Pack Configuration (MPC) architecture offer a flexible and scalable solution for demanding applications. Whether deployed in a single pack or across a distributed system, the Cleantron BMS provides the intelligence and reliability needed to support the next generation of battery-powered technologies.

Why Cleantron for Electric Vehicles Batteries?

Cleantron is an European leader in advanced lithium-ion batteries. We provide made in The Netherlands advanced batteries for light electric vehicles and other market sectors, like agricultural and industrial applications and solutions. Our products are built on captive BMS technology and the commitment to a long-term reliability. Whether you’re developing LEVs or micro cars, our battery technology gives you the flexibility and reliability to scale successfully.

We provide a full range of modular batteries, including low voltage and high voltage solutions. 

Alongside our standard batteries, Cleantron’s core business is to develop tailored battery modules for OEM customers

Contact us to see how Cleantron can help power your next product.

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Blog Technology

How to Charge a Lithium-Ion Battery Safely: Voltage, Temperature, and Fast Charging

Charging a lithium-ion battery may seem straightforward, but it involves a complex interplay of electrical, thermal and chemical dynamics that must be carefully managed. Well controlled charging helps to ensure performance, safety and longevity.

This article will give an insight how achieving lithium-ion batteries charging in a way that is time efficient, safe and leads to limited battery degradation.

 

Why Voltage, Temperature and Current do matter

When charging a lithium-ion battery, the basic is to keep the Voltage within safe limits. Overvoltage can lead to degradation or even safety hazard, while charging with a too low voltage may result in an incompletely charged battery.

Temperature is another critical factor. Batteries must be charged within a wide thermal window. Exceeding the temperature boundaries may cause accelerated wear and in extreme cases a thermal runaway. These temperature boundaries require an electronic control system (BMS) that can dynamically adjust the charging parameters real-time.

The lithium ion battery lifespan is significantly influenced by the charging process itself. High charging currents, desirable for fast charging, can accelerate aging by inducing a higher risk of battery degrading, leading to increasing internal resistance. In turn, the increased resistance leads to elevated temperatures during charging. These higher temperatures on their own can also contribute to an increase in chemical degradation, reducing the battery life as well. So fast charging is bad for the battery cycle life. Cleantron is balancing fast charging with minimal wear  which can only be achieved with a deep understanding of the mechanisms behind degradation, enabling positive trade-offs from these mechanisms.

 

Fast Charging: What Happens Inside the Battery and how to prevent battery degradation

To understand these mechanisms better, it is helpful to examine what happens inside a battery when being charged at a high rate. When charging an EV, it is noticeable how the initial charging phase is typically relatively rapid. The reason for this is that when the Cell is still far from achieving its maximum voltage, the high current charge has minimal penalty as the potential of the electrode is not yet too high.

However, as the battery gets closer to being full the battery charging rated typically goes down. This slowdown is necessary to prevent the electrode potential from reaching a critical level. A critical high potential promotes side reactions that degrade the Cell.

These degradation effects are further worsened by ion collisions. This process is comparable to a parking lot: when it’s empty, finding a spot is relatively easy, and can be done at a high speed. However, when the parking lot is getting full, it becomes harder and harder to find a spot, and if you drive too quickly the risk of having a crash into another car increases. Lithium-ions experience something similar while charging resulting in damage and therefore to battery degradation.

The standard response to prevent battery degradation is to decrease the speed at the end of charging, typically with a fixed profile. However the more smart battery management of Cleantron controls this dynamically, especially when taking the temperature boundaries into account.

How Temperature Affects Lithium-Ion Battery Charging and Safety

The temperature plays a drastic role in charging. It is preferable for a battery to not be too cold nor too hot at the start of charging. A temperature around 25°C is generally considered ideal. While in many applications it is possible to equip the battery pack with a suitable thermal management system to cool or heat the battery to this temperature. There are various ways to do this, such as air cooling, cooling via a cooling plate with a coolant or refrigerant and finally immersion cooling. All with varying degrees of complexity and increasing degrees of effectiveness. Cleantron is working on a novel implementation of immersion cooling that also enhances safety, more on which in a later article.

However, it is not always a possibility to include an active cooling system. One example for this are the swappable packs such as the P4X and CLP, where portability and swappable is a core feature that would be impacted by including a cooling system. On these packs we thus need to react to the temperature inside the pack to ensure optimal performance, rather than control it to stay in the optimal performance range.

If the battery is hot, it may overheat (and the battery management stops the charging process) or if it does not reach this critical level, it undergo chemical degradation, especially when high charging currents are applied for a longer time. On the other hand, charging at low temperatures increases the risk of lithium plating, which is also worsened by high charging currents.

Cleantron’s Adaptive Charging Algorithms

It becomes clear that more than just voltage and charging time need to be carefully monitored. For this reason, Cleantron provides its customers with in-house developed adaptive charging algorithms.

This algorithm can be finetuned based on the customers wishes, such as (extreme) fast charging. As a standard, the Cleantron Battery Modules P4P, P4X and CLP are equipped with an all-purpose version of the algorithm. This standard takes into account the Current temperature of the battery and sets the ideal Charging Current and the end of Charge Voltage based on this measurement.

Besides this, the algorithm also takes into account the actual State of Charge level of the battery, as well as the State of Health, ensuring that the charging is always optimal at any point in the battery’s life. As a result, Cleantron battery packs help extend their own lifespan, reducing carbon footprint, and deliver greater long-term value.

Why Cleantron for Electric Vehicles Batteries?

Cleantron is an European leader in advanced lithium-ion batteries. We provide made in The Netherlands advanced batteries for light electric vehicles and other market sectors, like agricultural and industrial applications and solutions. Our products are built on captive BMS technology and the commitment to a long-term reliability. Whether you’re developing LEVs or micro cars, our battery technology gives you the flexibility and reliability to scale successfully.

We provide a full range of modular batteries, including low voltage and high voltage solutions. 

Alongside our standard batteries, Cleantron’s core business is to develop tailored battery modules for OEM customers

Contact us to see how Cleantron can help power your next product.

 

FAQ

What is the charging current for a lithium-ion battery?
There is no single Charging Current for a lithium-ion battery, as this depends on:

  •       Which chemistry is inside the battery
  •       The capacity of the battery
  •       The type of battery cell (power type vs energy type)
  •       Pack-level constraints (Electronics and Thermal)

How to increase lithium-ion battery life?

Don’t keep the battery charging if it has already reached 100% and avoid deep discharges.

If a deep discharge (DUV) occurs the battery is normally beyond repair, so should not be used (“repaired” as some call it). Circumventing the BMS electronic safety measures and charging a battery after a deep-discharge results in a clear risk of fire due to Li plating. Particularly if the charging after the deep-discharge is performed too fast.

When storing a battery for long, make sure to charge it to avoid over-discharge. It is better not to charge it at 100%: if kept in storage at high SOC, the battery might degrade faster, particularly if stored in a very warm environment (> 40°C). In general, it is best to store the battery in a non humid environment (10 – 20°C) with 50% < SOC < 80%.

What are common mistakes to avoid, when charging a li-ion battery?

  •       Never revert polarity when connecting a battery, it’s very dangerous. Most chargers have a safety function implemented to prevent that.
  •       Never charge above the supplier’s specified limits to avoid dangerous situations.
  •       Do not keep the charger connected for a long time once a battery is full. A battery will age faster if forced constantly at 100% SOC, particularly if it’s NMC Li-ion battery (which goes to higher voltages).
  •       If the battery has to be stored for several months, it is a good practice to charge it before, however not all the way to full. If left in storage for too long, it might end up deep-discharging. Even if it’s not connected to anything, its BMS will keep tapping a very small Current to keep functional, which over the months will drain the battery gradually.
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Blog Technology

Traceability cells

Traceability ''to a T''

From the very start to the very end of the production process, data of each step that is relevant to the product or its quality is gathered for traceability tracking and to make it available for (statistical) data analysis. Statistics is a very powerful tool in a production environment. A small set number of tasks is repeated endlessly in our production machinery, and when monitored closely for deviations this can contribute largely to improved product quality and efficiency. 

The new Cleantron production line is set up specifically to make this type of data analysis possible. At the start of the production line, each individual battery cell is tested for quality, the data is logged and then linked to the unique serial ID of the Battery Pack. This happens fully automated with all relevant information (both product and process) at each subsequent step too: cell placement, welding, programming and end of line testing.

By using unique keys and setting up the infrastructure to store this data in an easily accessible manner, at any moment during the product lifetime, we can exactly determine which individual cells, electronics and other important parts have been used in which Battery Pack. We can see what process settings were used, what the results of the process were and of course what the results of the final quality control steps were. In case any questions arise at a later date as to what happened during production and which components were used, this information is only a click of a button away. This perfects the traceability of Cleantron Battery Packs.

By using statistics and combining the data of multiple Packs, quality performance of production can be monitored and used for improvement initiatives. To accomplish this, Cleantron uses industry best practices such as Statistical Process Control, an advanced analytical technique for looking at quality data used in many high-tech industries (such as automotive). By setting the process limits based on observations and then using the statistical technique to check for deviations, any errors in the process can be caught early on. This means that problems can be solved in the process before they even have a chance to affect product quality. This leads to a more stable process, less rejected product and a deepened understanding of what is happening during the production of our Battery Packs.

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Blog Technology

Investment cell test capacity

The investment for the cell test capacity

A Battery Pack Production Line has multiple bottlenecks. Bottleneck where throughput has a large impact on the total production of the line. One of these bottlenecks is the Cleantron in house developed in line Cell Testing Station. Here each individual Cell is measured to prevent that any (micro) deviation in a Cell may eventually, over time result in a failure in a Battery Module.

These tests take up valuable time, especially when handling of the Cells to and from the testing position is considered. Up to several valuable seconds are spent on testing per cell. However, speeding up these tests, or removing them all together, impacts the accuracy of the cell tests and increases the risk of faulty cells ending up in the Battery Pack.

To solve this, Cleantron has looked at their experience & insights related to production lines and cell testing. Cleantron calls this ‘Knowledge Based Working’. This experience and knowledge is noticeable in the two main aspects of the cell testing station.
Firstly, it has been decided that the number of testing positions needed to be increased to allow for a better balance between test time and handling time. This has resulted in a Cell tester with 2 parallel testing lanes, each of which has 10 testing positions. Here the benefit is that one lane can be emptied or filled during the time the Cells in the other lane are tested. This parallelism means that the Cell handling time becomes virtually non-existent for the throughput of the cells in the production line, meaning a constant flow of Cells is available for the placement robot.

Furthermore, to ensure a high testing accuracy and a short testing time to match the total throughput of the production line, a solution had to be found for the cell testing equipment as well. Based on previous experiences, an new battery measuring technology has been selected. This technology has been used earlier in our R&D department of Cleantron to great contentment. Combined with a multiplexing unit, this allows for the connection of the 20 testing positions with just one impedance measurement tester. Use one advanced impedance tester has the major positive benefit that differences in measurement-accuracy is prevented (that could occur between different channels), while still allowing for a high throughput. Finally, to maximise this throughput, an optimal testing sequence has been specifically selected to generate the most important battery data at the quickest possible time.

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