BYD’s Formula Leopard issued a statement last night answering questions regarding the delivery schedule, delivery time, and compensation for delivery delays of the Titanium 7 EV Flash Charge version.
According to official sources, deliveries of the Titanium 7 EV Flash Charge version began in mid-May, and nationwide deliveries are progressing smoothly. Currently, deliveries are primarily affected by the supply of second-generation blade batteries, causing changes in order production schedules. Ensuring delivery is the team’s top priority.
To address this issue, a special supply guarantee meeting has been held, a dedicated task force has been established, and production capacity resources across all production bases are being coordinated.
The task force reviews production data weekly and dynamically adjusts resource allocation to strive to deliver every vehicle to customers as quickly as possible. The goal is to achieve stable delivery by July, with delivery volume increasing by over 100% month-on-month, alleviating short-term delivery difficulties.
Tech Free Press noted that BYD also launched a “Fantasy Leopard Flash Charge Vehicle Delivery Waiting Gift”: all customers who have waited more than 30 days will receive one day of free flash charging for each day of delay. Delivery times vary for different models due to differences in configuration complexity and the supply schedule of key components.
Fang Chengbao also mentioned that the team prioritizes production based on the “order sequence of user orders,” but in actual delivery, the final delivery order is affected by multiple objective factors , including: the timeliness of deposit payment and contract signing, the production batch of the selected configuration (such as a specific color/optional package), and the logistics and shipping plans for different regions. These factors combined may lead to slight differences between the delivery order and the order sequence of individual orders. Delivery will not be artificially interfered with ; currently, efforts are being made to optimize production scheduling and logistics to minimize the inconvenience caused by such differences.
