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Connected Energy specialises in helping fleet operators and OEMs navigate these complex timing decisions. To learn more about optimising your battery replacement strategy, get in touch.
While state of health data enables accurate valuations, there’s a more complex question: when is the best time for fleet operators to replace their battery packs and move them into second life applications? We asked Frazer Wagg, Head of Data Services and Alex Charr, COO for their views.
In a recent blog, we looked at how deeper insights into EV battery state of health could prove highly valuable to battery owners considering a second life application. We also touched upon the concept that there is an optimum time for vehicle battery replacement, a topic we’ll now explore in more detail.
The question of when fleet operators should replace their battery packs may seem straightforward. Surely, you’d want to squeeze every bit of performance from your investment before swapping in a new battery? But this vehicle-centric view overlooks a critical economic reality that could cost operators around thousands of euros per pack.
There’s a tipping point where delayed replacement decisions can inadvertently destroy second-life value. Getting the timing wrong can make the difference between a valuable or worthless asset.
When we talk about second-life battery value, we’re really talking about the revenue potential in energy storage applications. Second-life batteries are ideal for generating revenue in energy storage through utility-scale developments which trade with the grid.
This revenue creates what we call a “pie” – but it’s a pie that must be divided among multiple stakeholders: the battery energy storage system operator, the battery manufacturer, capital costs, operational expenses, transportation, refurbishment, and profit margins.
As a battery degrades from 80% to 70% to 60% state of health, the size of this revenue pie shrinks. Fewer kilowatt-hours of storage capacity mean less earning potential in energy markets. But here’s the crucial point: the costs of deploying that battery in second-life applications remain largely fixed.
Whether a battery pack retains 75% or 65% of its original capacity, it still costs the same to transport, test, refurbish, and integrate into a battery energy storage system. The installation costs, grid connections, and operational overheads don’t scale down proportionally with capacity.
This creates a threshold – what we call the “value cliff”. As a battery’s state of health decreases, eventually you hit an equilibrium point where the pie is too small for all project partners to see adequate returns. Below this threshold, the project economics collapse and the battery crosses from having value to being essentially worthless.
This creates a strategic dilemma for fleet operators. From a vehicle-only perspective, delaying battery replacement until 60% state of health might seem optimal to prolong first-life use to maximise on the investment in a vehicle. But this narrow focus ignores the fact that second life value is being destroyed.
Our unique insight into second-life economics enables us to help OEMs and fleet operators identify the optimal timing for a swap – balancing first-life use against second-life value to maximise total returns. This whole-system optimisation is where our data analytics deliver genuine competitive advantage, informing better financial decisions that others in the market cannot provide.
The cost equation changes dramatically when you factor in this lost value. Yes, delaying replacement saves on the immediate cost of a new battery. But if that delay destroys the second-life value, the fleet operator has made a net loss of thousands of pounds – even before considering the reduced vehicle performance and potential downtime from an ageing battery.
The challenge for fleet operators is that they typically don’t have visibility into second-life economics. They know their vehicle performance requirements and can see their battery degrading, but they can’t accurately assess when they’re approaching the value cliff.
Different battery chemistries, manufacturers, and usage patterns all have different cliff edge points. This is why fleet operators need to start thinking about a replacement strategy when their batteries start getting close to 80% state of health.
We can engage with fleet operators to analyse their battery packs at a portfolio level on an annual basis, identifying the optimal replacement timing for each pack. This proactive approach ensures they maximise second life value and avoid making blind decisions about when to act.
This is where data analytics becomes genuinely valuable. Not just in measuring state of health, but in predicting, through understanding second life BESS economics, when the value cliff approaches for each specific battery pack.
The circular economy for EV batteries isn’t just an environmental imperative – it’s a financial opportunity. But only for those who understand when to act.
Connected Energy specialises in helping fleet operators and OEMs navigate these complex timing decisions. To learn more about optimising your battery replacement strategy, get in touch.
