To　address　the　battery　-related　shortcomings　of　battery　electric　buses　(BEBs),　dynamic　wireless　charging　(DWC)　technology　that　allows　BEBs　to　charge　while　in　motion　has　emerged,　thereby　extending　the　driving　range　and　reducing　the　size　of　onboard　batteries.　The　introduction　of　DWC　technology　raises　a　critical　problem,　namely,　the　deployment　of　DWC　facilities.　To　resolve　the　infrastructure　planning　problem,　this　study　first　proposes　a　(higher　-level)　strategic　planning　model　that　optimizes　the　deployment　of　DWC　facilities　and　battery　capacity　of　BEBs,　and　then　establishes　a　(lower　-level)　tactical　planning　model　of　optimal　charging　scheduling　under　the　time　-of　-use　(TOU)　tariff　mechanism　considering　the　interdependence　between　infrastructure　design　and　charging　activities　of　BEBs.　Mixed　-integer　nonlinear　programming　(MINLP)　is　proposed　to　optimize　the　model,　aiming　to　minimize　the　overall　cost　associated　with　charging　facilities,　batteries,　and　charging.　The　proposed　optimization　model　is　tested　and　evaluated　using　a　real　-world　bus　system　network,　and　the　results　demonstrate　that　the　model　effectively　determines　the　DWC　facility　locations　and　battery　sizes　and　optimizes　the　charging　scheduling　considering　the　TOU　tariff　for　BEBs.　The　proposed　model　in　this　study　provides　a　comprehensive　guideline　for　relevant　practitioners　and　further　promotes　the　application　of　DWC　technology　in　BEBs.