{"id":7140,"date":"2026-05-06T08:19:14","date_gmt":"2026-05-06T08:19:14","guid":{"rendered":"https:\/\/www.herewinpower.com\/?p=7140"},"modified":"2026-05-06T08:19:14","modified_gmt":"2026-05-06T08:19:14","slug":"why-fpv-lipo-batteries-still-dominate","status":"publish","type":"post","link":"https:\/\/www.herewinpower.com\/ru\/blog\/why-fpv-lipo-batteries-still-dominate\/","title":{"rendered":"Why FPV LiPo Batteries Are Still the Go-To Choice in 2026: Power and Cost Trade-Offs"},"content":{"rendered":"<figure class=\"wp-block-image aligncenter size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"2154\" height=\"1209\" src=\"https:\/\/www.herewinpower.com\/wp-content\/uploads\/2026\/04\/FPV28129-gs75y9dy.png\" alt=\"FPV LiPo batteries cover image showing drone silhouette, current flow schematic, and voltage stability curve\" class=\"wp-image-7139\" srcset=\"https:\/\/www.herewinpower.com\/wp-content\/uploads\/2026\/04\/FPV28129-gs75y9dy.png 2154w, https:\/\/www.herewinpower.com\/wp-content\/uploads\/2026\/04\/FPV28129-gs75y9dy-768x431.png 768w, https:\/\/www.herewinpower.com\/wp-content\/uploads\/2026\/04\/FPV28129-gs75y9dy-1536x862.png 1536w, https:\/\/www.herewinpower.com\/wp-content\/uploads\/2026\/04\/FPV28129-gs75y9dy-2048x1150.png 2048w, https:\/\/www.herewinpower.com\/wp-content\/uploads\/2026\/04\/FPV28129-gs75y9dy-18x10.png 18w\" sizes=\"(max-width: 2154px) 100vw, 2154px\" \/><\/figure>\n\n\n\n<p>In 2026, drones are living through an energy boom. Long-range logistics airframes are steadily moving toward chemistries that favor energy density and cycle life.<\/p>\n\n\n\n<p>Commercial FPV is the outlier. In film, industrial inspection, and other high-maneuver missions, soft-pack LiPo is still a common default\u2014not because the segment is \u201cbehind,\u201d but because FPV\u2019s success criteria are different.<\/p>\n\n\n\n<p>FPV power systems are constrained by two constraints that matter most:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p><strong>Determinism under burst load<\/strong> (think 120C-class events): the system must deliver predictable thrust <em>right when you ask for it<\/em>.<\/p><\/li><li><p><strong>Fleet economics under attrition<\/strong>: when airframes and packs are exposed to higher loss rates, \u201clong-life\u201d premiums can turn into stranded cost.<\/p><\/li>\n<\/ul>\n\n\n\n<p>This article breaks the choice down into physics and finance, then turns it into a supplier evaluation checklist you can actually use.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Power vs energy density in FPV LiPo batteries<\/h2>\n\n\n\n<p>If you design for energy density, you typically accept constraints that hurt power density. That trade-off isn\u2019t marketing\u2014it comes from transport limits inside the cell.<\/p>\n\n\n\n<p>One practical way to think about it:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p><strong>Energy density<\/strong> is \u201chow long you can run.\u201d<\/p><\/li><li><p><strong>Power density<\/strong> is \u201chow hard you can punch.\u201d<\/p><\/li>\n<\/ul>\n\n\n\n<p>FPV is punch-first.<\/p>\n\n\n\n<p>In practice, that means you\u2019re often trading a little runtime for cleaner voltage under bursts\u2014and that\u2019s where many \u201chigh-energy\u201d designs start to show their limits.<\/p>\n\n\n\n<p>When electrodes get thicker or more heavily loaded, ions and electrons have a harder time moving through the structure fast enough. The result is usually poorer rate capability and more heat at high current (see <a target=\"_blank\" rel=\"nofollow noopener\" class=\"link\" href=\"https:\/\/www.oaepublish.com\/articles\/energyz.2025.12\">\u201cThick electrode design\u2026 from an ion-electron transport perspective\u201d (EnergyZ, 2026)<\/a>). More broadly, academic reviews describe this as a persistent energy\u2013power tension in Li-ion systems (e.g., <a target=\"_blank\" rel=\"nofollow noopener\" class=\"link\" href=\"https:\/\/chemistry-europe.onlinelibrary.wiley.com\/doi\/10.1002\/elsa.202100161\">\u201cTrade-off between energy density and fast-charge capability\u2026\u201d (Chemistry Europe, 2022)<\/a>).<\/p>\n\n\n\n<p>What this means for an FPV OEM team: if you\u2019re optimizing for burst maneuvering, any chemistry or construction that increases internal transport constraints will usually show up as less voltage stability when you need it most.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Burst current and C rating in commercial FPV<\/h2>\n\n\n\n<p>Endurance UAVs behave like distance runners: long, relatively stable current draw, with slow transients.<\/p>\n\n\n\n<p>For procurement teams, the practical question isn\u2019t the label\u2014it\u2019s whether a pack can hold voltage during repeated burst-current events without excessive sag or heat.<\/p>\n\n\n\n<p>Commercial FPV behaves like a series of explosive sprints:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>snap accelerations<\/p><\/li><li><p>prop loading changes during dives\/power loops<\/p><\/li><li><p>hard recoveries (instant throttle to arrest a descent)<\/p><\/li><li><p>evasive maneuvers where \u201cthrust now\u201d is the only metric that matters<\/p><\/li>\n<\/ul>\n\n\n\n<p>In this world, average current is a misleading comfort metric. You size for the worst event, not the mean.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Burst current sanity check for FPV packs<\/h3>\n\n\n\n<p>You don\u2019t need perfect numbers to understand the scaling. You need the relationship:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>C-rate is just current normalized by capacity.<\/p><\/li><li><p>A \u201c120C-class\u201d burst means a current of roughly 120 \u00d7 capacity (in Ah)\u2014for example, a 1.5Ah pack implies ~180A peak. In procurement terms, define it as a burst window (peak amps + seconds) so suppliers can provide comparable voltage-sag and thermal-rise data.<\/p><\/li>\n<\/ul>\n\n\n\n<p>One important caveat: <strong>C-ratings aren\u2019t standardized across brands<\/strong>. Pulse duration, state of charge, temperature, cutoff voltage, and the test fixture (leads\/connectors) can all change what a label like \u201c120C\u201d looks like in real voltage stability.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>In event-driven FPV, a pack that \u201clooks fine\u201d on average can still fail the mission if it can\u2019t hold voltage through the top 1\u20133% of load events.<\/p><\/blockquote>\n\n\n\n<p>This is why LiPo remains dominant: the segment pays for burst determinism, not just watt-hours.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Internal resistance, DCIR, and voltage sag in FPV LiPo packs<\/h2>\n\n\n\n<p>At high current, the fight is against internal resistance (IR).<\/p>\n\n\n\n<p>In vendor comparisons, DCIR (and the resulting voltage sag at your target burst current) is often a more reliable signal than headline C ratings.<\/p>\n\n\n\n<p>The core physics is simple and brutal:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>Voltage drop under load: <strong>V_drop = I \u00d7 R<\/strong><\/p><\/li><li><p>Loaded voltage: <strong>V_loaded = OCV \u2212 (I \u00d7 R)<\/strong><\/p><\/li>\n<\/ul>\n\n\n\n<p>So the moment you pull 100+ amps, small resistance differences stop being small.<\/p>\n\n\n\n<p>A clear primer on how internal resistance drives sag (and how you can measure it with practical setups) is <a target=\"_blank\" rel=\"nofollow noopener\" class=\"link\" href=\"https:\/\/learn.sparkfun.com\/tutorials\/measuring-internal-resistance-of-batteries\/internal-resistance\">SparkFun\u2019s internal resistance tutorial<\/a>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Why high-energy designs can fail burst current tests<\/h3>\n\n\n\n<p>High-energy-density designs often involve compromises that increase transport limitation risk. Under burst load, those limitations can express as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p><strong>Voltage sag<\/strong> (the pack can\u2019t maintain voltage stability)<\/p><\/li><li><p><strong>Heat rise<\/strong> (because I\u00b2R losses scale fast)<\/p><\/li><li><p><strong>Reduced control determinism<\/strong> (your tune is now \u201cbattery-condition dependent\u201d)<\/p><\/li>\n<\/ul>\n\n\n\n<p>And for an FPV operator, voltage stability isn\u2019t comfort\u2014it\u2019s controllability.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>If your power system\u2019s voltage sag pushes you into ESC\/FC brownout territory during a recovery maneuver, the mission outcome goes from \u201cpilot skill\u201d to \u201cprobability.\u201d<\/p><\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\">Thermal rise under burst load and why it affects control<\/h2>\n\n\n\n<p>Burst performance isn\u2019t only electrical. It\u2019s thermal. Even if two packs deliver the same peak current, the one that manages heat better will:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>hold voltage longer across the burst window<\/p><\/li><li><p>recover faster between bursts<\/p><\/li><li><p>degrade slower (which protects batch-level predictability)<\/p><\/li>\n<\/ul>\n\n\n\n<p>At the pack level, the logic is still tied to resistive loss: <strong>power loss \u2248 I\u00b2R<\/strong>.<\/p>\n\n\n\n<p>So, from a design standpoint, thermal headroom is thrust headroom.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Fleet economics: attrition, cycle life, and cost per sortie<\/h2>\n\n\n\n<p>In high-attrition FPV environments (tight spaces, aggressive missions, higher crash risk), the question isn\u2019t \u201chow many cycles can this cell deliver in a lab.\u201d<\/p>\n\n\n\n<p>The question is: <strong>what does a sortie cost when you include the probability of losing the asset?<\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">A simple Unit Sortie Cost (USC) model<\/h3>\n\n\n\n<p>Define:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p><strong>C_pack<\/strong> = pack cost (USD)<\/p><\/li><li><p><strong>N_cycles<\/strong> = usable cycles before retirement (mission-relevant, not brochure)<\/p><\/li><li><p><strong>P_crash<\/strong> = probability of pack loss per sortie due to crash\/incident<\/p><\/li>\n<\/ul>\n\n\n\n<p>A simple expected-cost framing:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>Expected sorties before loss from attrition \u2248 <strong>1 \/ P_crash<\/strong><\/p><\/li><li><p>Effective usable sorties \u2248 <strong>min(N_cycles, 1\/P_crash)<\/strong><\/p><\/li>\n<\/ul>\n\n\n\n<p>So a first-pass USC estimate can be:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p><strong>USC \u2248 C_pack \/ min(N_cycles, 1\/P_crash)<\/strong><\/p><\/li>\n<\/ul>\n\n\n\n<p>This is intentionally conservative and simple. It forces one key discipline: you cannot monetize 1,000-cycle life if your operating reality makes the asset unlikely to survive that long.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Example assumptions table (replace with your data)<\/h3>\n\n\n\n<figure class=\"wp-block-table\">\n<table class=\"has-fixed-layout\">\n<colgroup><col \/><col \/><col \/><col \/><col \/><\/colgroup><tbody><tr><th colspan=\"1\" rowspan=\"1\"><p>Input<\/p><\/th><th colspan=\"1\" rowspan=\"1\"><p>Conservative<\/p><\/th><th colspan=\"1\" rowspan=\"1\"><p>\u0423\u043c\u0435\u0440\u0435\u043d\u043d\u044b\u0439<\/p><\/th><th colspan=\"1\" rowspan=\"1\"><p>Aggressive<\/p><\/th><th colspan=\"1\" rowspan=\"1\"><p>Notes<\/p><\/th><\/tr><tr><td colspan=\"1\" rowspan=\"1\"><p>Example assumption: Pack cost (C_pack)<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>$120<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>$180<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>$260<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Replace with your BOM\/landed cost<\/p><\/td><\/tr><tr><td colspan=\"1\" rowspan=\"1\"><p>Example assumption: Usable cycles (N_cycles)<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>80<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>150<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>300<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Mission-relevant (power fade + swelling limits)<\/p><\/td><\/tr><tr><td colspan=\"1\" rowspan=\"1\"><p>Example assumption: Attrition probability (P_crash)<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>2%<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>5%<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>10%<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Use fleet history, not optimism<\/p><\/td><\/tr><tr><td colspan=\"1\" rowspan=\"1\"><p>Effective usable sorties<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>min(80, 50)=50<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>min(150, 20)=20<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>min(300, 10)=10<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>1\/P_crash = 50 \/ 20 \/ 10<\/p><\/td><\/tr><tr><td colspan=\"1\" rowspan=\"1\"><p>USC (USD\/sortie)<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>$120\/50 = $2.40<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>$180\/20 = $9.00<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>$260\/10 = $26.00<\/p><\/td><td colspan=\"1\" rowspan=\"1\"><p>Formula: USC \u2248 C_pack \/ effective sorties<\/p><\/td><\/tr><\/tbody>\n<\/table>\n<\/figure>\n\n\n\n<p>What this implies: in high-attrition conditions, paying for extreme cycle life can be a misallocation\u2014because your constraint is loss probability, not electrochemical wear-out.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">High-voltage FPV power systems and integration requirements<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">How far does the FPV power stack go in 2026?<\/h3>\n\n\n\n<p>FPV LiPo batteries are now routinely specified in higher-voltage stacks (and not only 6S), because raising voltage can reduce current for the same power\u2014helpful for wiring losses, connector stress, and thermal headroom.<\/p>\n\n\n\n<p>FPV power systems have moved beyond \u201c6S and vibes.\u201d Many OEMs now evaluate higher-voltage stacks for efficiency and current reduction.<\/p>\n\n\n\n<p>But higher voltage raises the bar on:<\/p>\n\n\n\n<p>That shift can shrink your margin for error: small differences in cell balance, connector loss, or protection thresholds can have outsized effects during a burst event.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>cell matching and batch consistency<\/p><\/li><li><p>pack-level protection logic<\/p><\/li><li><p>integration between pack signals and vehicle controls<\/p><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Voltage stability is a tuning input<\/h3>\n\n\n\n<p>If the discharge curve and sag behavior shift meaningfully across packs or batches, your tuning becomes brittle:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>PID behavior varies between packs<\/p><\/li><li><p>throttle mapping becomes inconsistent<\/p><\/li><li><p>thermal margins change from one sortie to the next<\/p><\/li>\n<\/ul>\n\n\n\n<p>This is where <strong>Low IR<\/strong> \u0438 <strong>voltage stability<\/strong> become procurement criteria, not just engineering preferences.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Smart BMS integration is moving from \u201cnice\u201d to \u201crequired\u201d<\/h3>\n\n\n\n<p>For commercial OEMs, <strong>Smart BMS Integration<\/strong> increasingly means:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>real-time voltage\/temperature visibility<\/p><\/li><li><p>pack health flags that your FC\/mission controller can interpret<\/p><\/li><li><p>traceability (lot codes, QC records) for root-cause analysis<\/p><\/li>\n<\/ul>\n\n\n\n<p>For teams that want a supplier who can support this kind of end-to-end energy system integration, we provide ODM\/OEM services that cover pack monitoring and protection\u2014outlined in our <a target=\"_self\" rel=\"follow\" class=\"link\" href=\"https:\/\/www.herewinpower.com\/solution\/drones\/\">drone energy-system solutions<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Lithium battery shipping compliance: UN38.3 and IATA basics<\/h2>\n\n\n\n<p>If you\u2019re shipping packs internationally or selling into regulated markets, compliance isn\u2019t a footnote. It determines whether your product is even allowed to move.<\/p>\n\n\n\n<p>For B2B shipments, expect to align on the paperwork buyers and forwarders ask for most often, including UN38.3 test reports, SDS or MSDS documentation, and IATA air-shipping requirements.<\/p>\n\n\n\n<p>At minimum, commercial operations should expect:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>UN38.3 transport test documentation<\/p><\/li><li><p>supporting documentation like SDS\/MSDS (often requested by carriers)<\/p><\/li>\n<\/ul>\n\n\n\n<p>In the U.S., the Department of Transportation\u2019s PHMSA provides practical guidance in its <a target=\"_blank\" rel=\"nofollow noopener\" class=\"link\" href=\"https:\/\/www.phmsa.dot.gov\/sites\/phmsa.dot.gov\/files\/2024-11\/Lithium-Battery-Guide-2024.pdf\">Lithium Battery Guide (PHMSA, 2024)<\/a>. For air shipments, IATA\u2019s <a target=\"_blank\" rel=\"nofollow noopener\" class=\"link\" href=\"https:\/\/www.iata.org\/contentassets\/05e6d8742b0047259bf3a700bc9d42b9\/lithium-battery-guidance-document.pdf\">Lithium Battery Guidance Document (IATA, 2026)<\/a> is a widely referenced packaging\/labeling baseline.<\/p>\n\n\n\n<p>For market access:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p><strong>CE<\/strong> \u0438 <strong>FCC<\/strong> typically become relevant at the device\/system level (electronics emissions compliance), but battery systems still need documentation readiness to avoid being the weak link.<\/p><\/li><li><p><strong>UL2272\/UL2595<\/strong> may apply depending on how the battery system is categorized and sold. Treat UL targets as \u201cas applicable\u201d and confirm scope with your compliance team.<\/p><\/li>\n<\/ul>\n\n\n\n<p>Aviation and carrier compliance support in practice often means being able to produce auditable technical files: test methods, traceability, and transport certifications that survive scrutiny.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Supplier evaluation checklist for burst-capable FPV LiPo packs<\/h2>\n\n\n\n<p>If you want fewer surprises, don\u2019t ask \u201cis it 120C?\u201d Ask for proof that maps to your mission profile.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Ask for test evidence you can audit<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>DCIR measurement method (pulse size, duration, SOC, temperature)<\/p><\/li><li><p>discharge curves showing voltage stability across the burst window<\/p><\/li><li><p>thermal rise data during repeated bursts (not just single peak)<\/p><\/li>\n<\/ul>\n\n\n\n<p>Also ask suppliers to provide raw curves or data exports (time-series voltage\/current\/temperature) under a fixed, shared test protocol (same SOC, temperature, airflow, pulse\/rest schedule, and cutoff). This reduces the risk of comparing \u201cC-ratings\u201d that were produced under different conditions.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Ask for consistency, not just a hero sample<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>batch-to-batch variance metrics (IR distribution, capacity distribution)<\/p><\/li><li><p>traceability approach (lot codes, QC checkpoints)<\/p><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Ask for integration readiness<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>what Smart BMS data is available (voltage, temperature, SOC, protection flags)<\/p><\/li><li><p>what your FC\/mission controller can consume (interfaces\/protocols)<\/p><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Ask for compliance readiness<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>UN38.3 reports and supporting documentation<\/p><\/li><li><p>market-specific documentation plan (CE\/FCC at system level; UL where applicable)<\/p><\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Next steps: validate with a burst test<\/h2>\n\n\n\n<p>There isn\u2019t a single battery chemistry that wins every mission profile. The practical goal is fit: the pack that delivers the required burst performance, thermal stability, and expected cost per sortie under your operating conditions.<\/p>\n\n\n\n<p>If your missions still reward:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><p>hard recoveries<\/p><\/li><li><p>tight maneuvering<\/p><\/li><li><p>deterministic thrust under burst load<\/p><\/li>\n<\/ul>\n\n\n\n<p>\u2026then LiPo often remains a rational default in 2026.<\/p>\n\n\n\n<p>If you want a faster path to a shortlist, treat evaluation as a controlled experiment:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><p>Define your burst windows (duration, current, rest period)<\/p><\/li><li><p>Fix test conditions (SOC, temperature, airflow)<\/p><\/li><li><p>Compare voltage stability and thermal rise across candidates<\/p><\/li><li><p>Translate results into USC (unit sortie cost) for your real attrition rate<\/p><\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"<p>A CTO-level guide to burst power, low IR, voltage stability, and fleet economics\u2014plus a USC model and compliance checklist.<\/p>","protected":false},"author":3,"featured_media":7139,"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 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