{"id":8535,"date":"2026-06-18T01:26:11","date_gmt":"2026-06-18T01:26:11","guid":{"rendered":"https:\/\/www.herewinpower.com\/?p=8535"},"modified":"2026-06-18T01:26:11","modified_gmt":"2026-06-18T01:26:11","slug":"32s-charging-bottleneck-heavy-lift-drone-fleets","status":"publish","type":"post","link":"https:\/\/www.herewinpower.com\/fr\/blog\/32s-charging-bottleneck-heavy-lift-drone-fleets\/","title":{"rendered":"32S Energy Turnaround Is Now the Bottleneck for Heavy-Lift Drone Fleets"},"content":{"rendered":"<figure class=\"wp-block-image aligncenter size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"750\" height=\"669\" src=\"https:\/\/www.herewinpower.com\/wp-content\/uploads\/2026\/06\/28S-60000-E699BAE883BDE794B5E6B1A0-_09-eja8gajh.jpg\" alt=\"Heavy-lift drone grounded beside a charging table, showing energy turnaround as the operational bottleneck.\" class=\"wp-image-8534\" srcset=\"https:\/\/www.herewinpower.com\/wp-content\/uploads\/2026\/06\/28S-60000-E699BAE883BDE794B5E6B1A0-_09-eja8gajh.jpg 750w, https:\/\/www.herewinpower.com\/wp-content\/uploads\/2026\/06\/28S-60000-E699BAE883BDE794B5E6B1A0-_09-eja8gajh-13x12.jpg 13w\" sizes=\"(max-width: 750px) 100vw, 750px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><em>As fleets scale, aircraft performance is no longer the limiting factor. Energy turnaround is.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When you run a heavy-lift operation, it\u2019s tempting to believe the next productivity gain will come from the aircraft: more payload, more endurance, more thrust margin.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That was true for years.But the moment a fleet scales past \u201ca few aircraft,\u201d something changes. The limiting factor stops being what the drone <em>can<\/em> do in the air\u2014and becomes how predictably you can get energy back into the aircraft on the ground.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This isn\u2019t a battery-chemistry story. It\u2019s a throughput story\u2014about fleet productivity, queues, and how fast energy can get back to the line.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Heavy-Lift Drone Fleets Have Solved the Flight Problem<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The heavy-lift segment has been in a capability race: lift heavier, fly longer, maintain stability with demanding payloads, and survive rougher environments. In many markets, that race has largely been won\u2014at least enough that aircraft performance is no longer the first question ops leaders ask every morning.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The industry\u2019s baseline assumptions have shifted:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>Payload classes that were \u201cspecial projects\u201d are now routine jobs.<\/p><\/li><li><p>Reliability expectations look less like hobby drones and more like industrial equipment.<\/p><\/li><li><p>Fleet thinking is replacing single-aircraft thinking: uptime, repeatability, auditability.<\/p><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">In that context, \u201cbetter aircraft\u201d doesn\u2019t automatically become \u201cmore daily output.\u201d<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">From Aircraft Capability to Fleet Productivity<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The first phase of growth in heavy-lift drones rewarded engineering breakthroughs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The second phase rewards operators who can run the operation like a system.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Because your customers don\u2019t buy peak performance. They buy outcomes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>sorties delivered on schedule<\/p><\/li><li><p>predictable coverage per day<\/p><\/li><li><p>fewer cancellations due to avoidable ground-side issues<\/p><\/li><li><p>a workflow that can be repeated across sites without reinventing the process<\/p><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">If your fleet can\u2019t turn jobs into repeatable daily throughput, aircraft capability becomes an expensive ceiling instead of a competitive advantage.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Why 32S Platforms Are Becoming More Common<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Heavier payloads and more demanding mission profiles naturally push platforms toward higher-voltage architectures. In practice, many heavy-lift fleets have moved through a familiar progression\u201424S, then 28S, now increasingly 32S\u2014as operators chase more usable power and more stable performance under load.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That evolution makes sense. But it creates a subtle trap:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>More flight power does not automatically create more daily output.<\/p><\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">The step-change is real\u2014but it doesn\u2019t live only in the air. It also shows up on the ground, in the energy loop you must run all day.<\/p>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<h2 class=\"wp-block-heading\">Why Fleet Growth Doesn&#8217;t Always Increase Daily Sorties<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">This is where fleet ops leaders feel the disconnect most sharply.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You add aircraft. You add crews. You add routes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">And yet daily sorties flatten.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Not because the aircraft aren\u2019t capable.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Because the operation has a hidden queue.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">The Hidden Queue Behind Every Mission<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Every mission creates an energy debt. You repay it on the ground.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At small scale, that repayment looks like a simple task: plug in, wait, swap, repeat.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At fleet scale, it becomes a system with multiple waiting lines\u2014and it\u2019s often your <strong>battery turnaround time<\/strong> (not flight time) that starts setting the rhythm:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>the aircraft waits for a battery<\/p><\/li><li><p>the battery waits for a charging slot<\/p><\/li><li><p>the operation waits for the turnaround to complete<\/p><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">That queue is often invisible in the KPI dashboard. You won\u2019t see it in \u201cnumber of aircraft owned.\u201d You\u2019ll see it in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>aircraft sitting ready but grounded<\/p><\/li><li><p>crews idle at the wrong times (and overloaded at the right times)<\/p><\/li><li><p>sorties pushed into later windows, compressing the schedule<\/p><\/li><li><p>end-of-day decisions that feel like triage instead of planning<\/p><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Operations management has a blunt rule: the bottleneck sets the pace. If one step in your cycle can\u2019t keep up, the whole system slows\u2014and your <strong>sortie rate<\/strong> follows.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When energy turnaround becomes that constraint, adding more aircraft can actually increase waiting time\u2014because you\u2019re feeding more demand into the same narrow point. That\u2019s the hidden reason fleet growth doesn\u2019t translate into higher <strong>fleet productivity<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A practical queue framing helps here. In plain terms, more work-in-process creates longer waits unless throughput rises too. That\u2019s the intuition behind Little\u2019s Law, commonly used to reason about flow systems with queues and cycle time (see practical explanations from <a target=\"_blank\" rel=\"nofollow noopener\" class=\"link\" href=\"https:\/\/projectproduction.org\/journal\/littles-law-a-practical-approach-to-understanding-production-system-performance\/\">Project Production\u2019s Little\u2019s Law overview<\/a> and <a target=\"_blank\" rel=\"nofollow noopener\" class=\"link\" href=\"https:\/\/www.interlakemecalux.com\/blog\/littles-law\">Interlake Mecalux<\/a>).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">You don\u2019t need the math to feel it. You live it.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">When Battery Turnaround Becomes the Constraint<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Here\u2019s the core scaling problem:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>Fleet size scales faster than charging capacity.<\/p><\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">Aircraft scale with procurement.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Charging capacity scales with constraints.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Not just \u201cbuy more chargers.\u201d Real constraints:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p><strong>power availability<\/strong> (especially in remote or temporary sites)<\/p><\/li><li><p><strong>physical layout<\/strong> (space, cable routing, safe handling zones)<\/p><\/li><li><p><strong>labor and supervision<\/strong> (who runs the charging lane, who signs off, who audits)<\/p><\/li><li><p><strong>process reliability<\/strong> (how consistently you can reproduce the same turnaround across shifts)<\/p><\/li><li><p><strong>failure impact<\/strong> (one charger fault can cascade into missed sorties)<\/p><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Even when you can add charging hardware, you may not be able to add <strong>charging throughput<\/strong> at the same rate. The constraint is rarely the spec sheet\u2014it\u2019s the operations lane.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">And throughput is what matters.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is why fleet operators increasingly treat energy strategy as an operational decision\u2014not a technical preference. As Commercial UAV News notes in its discussion of <a target=\"_blank\" rel=\"nofollow noopener\" class=\"link\" href=\"https:\/\/www.commercialuavnews.com\/battery-swapping-vs-fast-charging-commercial-drone-fleet-operators\">battery swapping vs. fast charging for commercial fleet operators<\/a>, the real question is how quickly aircraft return to service, and what operational burdens each approach creates (inventory, tracking, health management, deployment model).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A counterargument you\u2019ll hear is: \u201cJust buy more batteries.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That can work\u2014briefly.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">But it often shifts the problem from <em>waiting to charge<\/em> to <em>managing a larger inventory of high-value assets<\/em> under time pressure. More batteries can reduce one queue while creating another: tracking, rotation discipline, quarantine decisions, site-to-site rebalancing.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At scale, you need something stronger than \u201cmore.\u201d You need <strong>repeatability<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<h2 class=\"wp-block-heading\">32S Exposes Turnaround Inefficiency at Scale<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A critical clarification: 32S isn\u2019t the problem itself.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">What 32S does is remove the last bit of slack in your energy loop. At that point, small delays in charging, verification, handoff, or pack availability stop being \u201cannoyances\u201d and start showing up as <strong>aircraft idle time<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In other words: 32S makes the fleet\u2019s throughput ceiling visible.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This section stays operational on purpose. The failure mode isn\u2019t a technical misunderstanding\u2014it\u2019s <strong>lost sorties caused by turnaround variance<\/strong>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Longer Energy Loops<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">As energy per mission increases, the energy cycle becomes harder to compress.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That doesn\u2019t just mean \u201ccharging takes longer.\u201d It means the entire operation becomes more tightly coupled:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>one delayed turnaround doesn\u2019t stay local\u2014it pushes into later missions<\/p><\/li><li><p>later missions compress into narrower windows<\/p><\/li><li><p>narrower windows increase handling pressure and decision fatigue<\/p><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">When energy loops get longer, the operation becomes less forgiving. Your buffers shrink.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In practice, ops leaders experience this as a loss of determinism: more days where the plan looks fine at 9 a.m. and breaks by noon.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Here\u2019s the decision-level way to think about it: <strong>a modest increase in turnaround variance can erase a surprising amount of daily output.<\/strong> Even if average charge time looks acceptable, variability creates gaps that you can\u2019t schedule around.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>For example ,<\/em> if packs return 10\u201315% less predictably during peak windows, many fleets feel it as 1\u20132 fewer sorties per aircraft per day on the days that matter most\u2014because aircraft, crews, and payloads end up waiting on the same constrained lane.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">More Batteries, Same Bottleneck<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">When daily output flattens, the first instinct is often: \u201cBuy more packs.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Extra inventory can reduce <em>one<\/em> kind of waiting\u2014but it doesn\u2019t remove the constraint. If the charging lane, verification step, or release process can\u2019t keep up, you\u2019ve simply moved the queue.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">At scale, unmanaged inventory creates a second problem: <strong>you lose readiness visibility.<\/strong> Teams start asking:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>Which packs are actually mission-ready right now?<\/p><\/li><li><p>Which are charged but cooling, waiting for verification, or missing paperwork?<\/p><\/li><li><p>Which are cycling too hard because they\u2019re always the \u201ceasy-to-grab\u201d ones?<\/p><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">When you can\u2019t answer those questions quickly, you get the worst outcome: <strong>more batteries on paper, but the same aircraft idle time in practice.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That\u2019s why throughput-focused fleets treat pack governance as a sortie-rate lever, not an admin task. Spreadsheets can work for a handful of aircraft; they break when you\u2019re trying to run a predictable multi-aircraft schedule.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">More Risk Across Multi-Site Operations<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Ops leaders typically aren\u2019t most afraid that a battery fails.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">They\u2019re afraid the operation becomes unpredictable.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Multi-site scaling increases that unpredictability:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>each site develops its own \u201clocal way\u201d of doing turnaround<\/p><\/li><li><p>staff training drifts<\/p><\/li><li><p>charging lanes get rearranged and undocumented<\/p><\/li><li><p>inventory doesn\u2019t match scheduling assumptions<\/p><\/li><li><p>the system becomes fragile to one missing person or one faulty charger<\/p><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">This is also where audit and compliance pressure increases. A process that is \u201cfine in practice\u201d becomes harder to defend when incidents happen or when customers ask for proof of control.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Unmanned Systems Technology makes the operational point bluntly in its charger overview: <a target=\"_blank\" rel=\"nofollow noopener\" class=\"link\" href=\"https:\/\/www.unmannedsystemstechnology.com\/expo\/battery-chargers\/\">an under-specified or poorly matched charger can become the primary bottleneck in field operations<\/a>, grounding platforms due to sluggish recharge, faults, or avoidable degradation. Even if you don\u2019t adopt their framing wholesale, the operational logic is hard to dispute: a fragile charging lane is a fragile operation.<\/p>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<h2 class=\"wp-block-heading\">The Most Efficient Fleets Are Standardizing Energy Operations<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">High-performing fleets don\u2019t win by \u201ccharging faster.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">They win by turning energy turnaround into a repeatable system.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">From Batteries to Energy Systems<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A mature fleet stops managing batteries as standalone items.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It manages an energy system:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>batteries<\/p><\/li><li><p>chargers<\/p><\/li><li><p>charging SOP<\/p><\/li><li><p>scheduling and dispatch rules<\/p><\/li><li><p>asset tracking and readiness definitions<\/p><\/li><li><p>multi-site governance<\/p><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">This is one reason an ODM\/OEM partner model matters. A supplier that can support system-level integration\u2014battery plus operational constraints, plus documentation discipline\u2014reduces the gap between \u201clab performance\u201d and \u201cfleet determinism.\u201d<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Building a Repeatable Charging Workflow<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">If you want a practical starting point, treat charging like a production lane. Define the lane, define the gates, define the outputs.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A minimal repeatable workflow usually includes:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><p><strong>Clear entry criteria<\/strong><\/p><ul><li><p>what happens immediately after landing<\/p><\/li><li><p>who decides whether a pack is eligible for turnaround<\/p><\/li><\/ul><\/li><li><p><strong>A defined queue and capacity model<\/strong><\/p><ul><li><p>where packs wait<\/p><\/li><li><p>how charging slots are assigned<\/p><\/li><li><p>what happens when demand exceeds capacity<\/p><\/li><\/ul><\/li><li><p><strong>A verification step before release<\/strong><\/p><ul><li><p>a simple, consistent check that the pack is \u201cready for mission,\u201d not just \u201ccharged\u201d<\/p><\/li><\/ul><\/li><li><p><strong>A quarantine path<\/strong><\/p><ul><li><p>where suspect packs go<\/p><\/li><li><p>who reviews and when<\/p><\/li><li><p>how you prevent \u201ctemporary exceptions\u201d from becoming silent process drift<\/p><\/li><\/ul><\/li><li><p><strong>Traceability<\/strong><\/p><ul><li><p>pack ID, cycle logs, incident history<\/p><\/li><\/ul><\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">The key is not perfection. It\u2019s repeatability.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If you need an operational reference point for standardization discipline, Colony Core\u2019s scaling guidance is clear: <a target=\"_blank\" rel=\"nofollow noopener\" class=\"link\" href=\"https:\/\/colonycore.io\/resources\/how-to-scale-drone-operation\">standardize SOPs and equipment management before scaling headcount<\/a>, including battery rotation schedules and tracking procedures.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For teams that want to formalize battery handling and readiness categories, Herewin\u2019s <a target=\"_self\" rel=\"follow\" class=\"link\" href=\"https:\/\/www.herewinpower.com\/blog\/industrial-drone-lithium-battery-maintenance-guide\/\">industrial drone lithium battery maintenance guide<\/a> provides a practical operations-oriented framing you can adapt to your own governance model.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>Don\u2019t treat \u201cmore chargers\u201d as the only lever. Throughput often improves faster when you reduce variance\u2014standardize steps, reduce exceptions, and make readiness visible.<\/p><\/blockquote>\n\n\n\n<h3 class=\"wp-block-heading\">Preparing for the Next Stage of Fleet Scale<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">If your fleet is moving from \u201cdozens\u201d toward \u201cmulti-site,\u201d the question isn\u2019t whether energy turnaround matters.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It\u2019s whether you can scale it without scaling unpredictability.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The shift looks like this:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p><strong>Single-aircraft era<\/strong>: experience and heroics can cover gaps.<\/p><\/li><li><p><strong>Fleet era<\/strong>: the gaps become queues.<\/p><\/li><li><p><strong>Scaled fleet era<\/strong>: the queues become customer-facing delays and compliance exposure.<\/p><\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">At that stage, the competitive advantage is not the aircraft alone. It\u2019s the energy operation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The next bottleneck in heavy-lift drone operations may not be in the air. It may be sitting on the charging table\u2014right in the middle of your turnaround lane.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If you\u2019re scaling 32S operations and want to tighten energy turnaround without adding chaos, <a target=\"\" rel=\"noopener noreferrer nofollow\" class=\"link\" href=\"https:\/\/www.herewinpower.com\/contact\/\">Herewin can help you<\/a> map a practical system across packs, chargers, SOP, and readiness definitions.<\/p>","protected":false},"excerpt":{"rendered":"<p>As heavy-lift fleets scale, charging throughput and battery turnaround become the constraint. How to standardize energy ops for predictable sorties.<\/p>","protected":false},"author":3,"featured_media":8534,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[1,83],"tags":[],"class_list":["post-8535","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-drone-battery"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.herewinpower.com\/fr\/wp-json\/wp\/v2\/posts\/8535","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.herewinpower.com\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.herewinpower.com\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.herewinpower.com\/fr\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.herewinpower.com\/fr\/wp-json\/wp\/v2\/comments?post=8535"}],"version-history":[{"count":1,"href":"https:\/\/www.herewinpower.com\/fr\/wp-json\/wp\/v2\/posts\/8535\/revisions"}],"predecessor-version":[{"id":8553,"href":"https:\/\/www.herewinpower.com\/fr\/wp-json\/wp\/v2\/posts\/8535\/revisions\/8553"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.herewinpower.com\/fr\/wp-json\/wp\/v2\/media\/8534"}],"wp:attachment":[{"href":"https:\/\/www.herewinpower.com\/fr\/wp-json\/wp\/v2\/media?parent=8535"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.herewinpower.com\/fr\/wp-json\/wp\/v2\/categories?post=8535"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.herewinpower.com\/fr\/wp-json\/wp\/v2\/tags?post=8535"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}